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1	Launching 6 New AI Courses! (LLMOps, AI Security & More) + Diwali Discounts \| CampusX	24:46	2026-11-03
2	Google ADK Masterclass: The LangGraph Alternative You Need to Know \| CampusX	46:00	2026-10-31
3	Are AI Jobs Disappearing? What the 2026 Quess AI Workforce Report Reveals? \| CampusX	1:23:10	2026-10-22
4	AI Engineering Full Roadmap vs 100-Day Sprint: In-Demand Skills, Job Market Data & Curriculum	1:39:52	2026-10-16
5	Jev by TypeSafe AI \| What is a System-1 Decision Model \| CampusX	1:29:58	2026-09-24
6	Online RAG Evaluation: Monitoring Production LLMs with LangSmith with Code Demo \| CampusX	1:14:24	2026-09-13
7	RAG Regression Testing Explained: How to Prevent Silent AI Failures	54:16	2026-09-03
8	RAG Operational Evals: Building Faster & Cheaper RAG Systems \| CampusX	1:19:32	2026-08-28
9	Securing Your RAG Application: Testing for Toxicity, Leakage & Scope Drift \| CampusX	1:35:19	2026-08-24
10	Mastering G-Eval: The Deterministic LLM-as-a-Judge Framework Explained \| CampusX	1:26:52	2026-08-20
11	Evaluating RAG: Testing the Generator & Full Pipeline with the RAG Triad \| CampusX	1:21:29	2026-08-15
12	How to Test RAG Retrievers(Hands-On) \| CampusX	1:47:02	2026-08-10
13	How to Answer "How Do You Evaluate Your RAG App?" in GenAI Interviews \| CampusX	46:20	2026-08-06
14	Selecting the Right LLM for Your AI App: Running Custom Model Evals \| CampusX	1:56:53	2026-08-02
15	How to Use LLM Leaderboards \| CampusX	30:07	2026-07-29
16	What are LLM Benchmarks \| The Evolution of AI Knowledge Benchmarks \| CampusX	1:50:47	2026-07-26
17	Whats is LLM Benchmarking \| Benchmark Saturation vs. Contamination \| CampusX	51:20	2026-07-19
18	LLM Model Evals & Capabilities \| CampusX	37:52	2026-07-16
19	Offline Evals Vs Online Evals \| CampusX	1:21:09	2026-07-09
20	LLM Eval Methods \| LLM-as-a-Judge \| Reference Based Evals Vs Reference Free Evals \| CampusX	53:10	2026-07-05

21	Why Your AI Application Needs Multiple Eval Pipelines? \| CampusX	28:06	2026-07-03
22	How to Evaluate LLM Applications: The Complete Workflow \| CampusX	17:00	2026-06-24
23	Introduction to LLM Evaluations – Model Evals vs Application Evals \| CampusX	24:32	2026-06-19
24	Master LLM Evaluations: The Step-by-Step Playlist for 2026 \| New Playlist \| CampusX	23:24	2026-06-16
25	⁠Future-Proof Your AI Career with One Membership \| CampusX One Launch	33:58	2026-06-05
26	Launching Advanced Prompt Engineering Course \| Write Production-Grade Prompts \| CampusX	13:35	2026-05-23
27	Plugins in Claude Code + Claude Code Notes \| Final Video \| CampusX	35:08	2026-05-17
28	Hooks in Claude Code — Full Theory + Practical Use \| CampusX	1:04:58	2026-05-12
29	Launching Advanced RAG Course \| 45+ hrs Deep Dive \| CampusX	15:14	2026-05-05
30	Claude + MCP Explained \| CampusX	54:33	2026-04-30
31	Claude Custom Subagents (Build Your Own AI Workers) \| CampusX	47:23	2026-04-28
32	Claude SubAgents: Solve Context & Token Cost Problems \| CampusX	48:24	2026-04-23
33	How I Stay Updated in AI Without Burning Out (My Exact System) \| CampusX	32:06	2026-04-18
34	Claude Code Skills: Full Guide \| CampusX	49:46	2026-04-16
35	Claude Code Custom Slash Commands \| Stop Repeating Prompts \| CampusX	46:27	2026-04-11
36	Plan Mode in Claude Code \| Ultraplan Mode in Claude Code \| CampusX	37:36	2026-04-09
37	Spec-Driven Development in Claude Code \| CampusX	28:07	2026-04-07
38	The Most Detailed Notes for Data Science, Machine Learning, Deep Learning and More by CampusX	17:01	2026-04-04
39	Claude.md \| Claude Code — The Most Important File \| CampusX	46:28	2026-04-03
40	Context Window Management in Claude Code \| CampusX	35:07	2026-03-28

41	Making Code Changes using Claude Code \| How to Add Image as Context \| CampusX	22:02	2026-03-26
42	Slash Commands in Claude Code \| CampusX	31:28	2026-03-24
43	How to Setup Claude Code on your System \| Run Claude for Free \| CampusX	26:36	2026-03-22
44	Learn AI Coding the Right Way (No Vibe Coding) \| New Playlist \| CampusX	16:54	2026-03-20
45	Choosing an AI Career in 2026? Understand Every AI Role Before You Start \| CampusX	3:14:24	2026-03-06
46	Don't Miss this Video If You're a CampusX Student \| Biggest Update Yet \| Huge Discounts \| CampusX	28:17	2026-02-25
47	Make.com Masterclass: Build Powerful AI Agents Without Coding \| Business Automation Guide \| CampusX	3:07:33	2026-02-21
48	Self-RAG Tutorial: How to Make Your AI Fact-Check Itself \| Advanced RAG \| CampusX	1:08:40	2026-02-18
49	Complete n8n Masterclass [Updated for 2026]: Build Real-World Automations and AI Agents from Scratch	3:48:15	2026-02-13
50	Advanced RAG: How Corrective RAG (CRAG) Solves Traditional RAG Problems \| CampusX	1:15:09	2026-02-09
51	How Important is DSA for AI Jobs in 2026? \| New DSA Course \| CampusX	15:44	2026-02-03
52	This AI Agent Plans, Researches & Writes Blogs Automatically using LangGraph \| Agentic AI Project	1:20:04	2026-01-31
53	Ollama Masterclass 2026: Run Powerful Local LLMs with Ollama (3-Hour Full Course) \| CampusX	2:49:41	2026-01-17
54	Long Term Memory in LangGraph	1:05:35	2026-01-07
55	How To Implement Short Term Memory Using LangGraph	52:46	2026-01-03
56	2025 Was a 6.5/10 — Here’s Our GenAI Plan for 2026 \| New Year Mega Discount \| CampusX	19:34	2025-12-31
57	LLMs Don’t Have Memory — So How Do They Remember?	57:44	2025-12-29
58	Crew AI Crash Course for Beginners \| Free Masterclass with Project \| New Course \| CampusX	3:39:10	2025-12-26
59	How to build Subgraphs in LangGraph	22:47	2025-12-16
60	Human in the loop (HITL) using LangGraph \| CampusX	40:04	2025-12-12

61	Inside My GenAI Book: Layers, Dimensions, and the Big Picture \| CampusX	18:10	2025-12-03
62	Launching 6 New Courses + Huge Surprise \| XAI \| N8N \| Ollama \| Agno \| Docker for ML \| CampusX	27:03	2025-11-27
63	RAG using LangGraph \| Agentic AI using LangGraph \| CampusX	37:12	2025-11-22
64	How to build MCP Client using LangGraph \| Agentic AI using LangGraph \| CampusX	44:31	2025-11-19
65	Map of Gen AI \| Live Quiz \| CampusX	1:45:30	2025-11-14
66	Top 10 most common SQL queries \| SQL Interview Questions For Data Science \| CampusX Live 1	—
67	How to build MCP Clients \| MCP Trilogy \| CampusX	40:00	2025-11-13
68	The Only GenAI Roadmap You’ll Ever Need \| Map of Generative AI for Everyone \| CampusX	3:07:09	2025-11-07
69	How to Build & Deploy Remote MCP Servers \| MCP Trilogy \| CampusX	45:49	2025-09-30
70	How to Build Local MCP Servers \| MCP Trilogy \| CampusX	1:12:11	2025-09-27
71	Google Gemini Course \| Generative AI Explained with Projects \| CampusX	24:48	2025-09-21
72	Model Context Protocol \| The How \| How to connect MCP Servers to Claude Desktop \| CampusX	46:17	2025-09-20
73	The MCP Lifecycle \| MCP Trilogy \| CampusX	55:05	2025-09-17
74	MCP Architecture \| Model Context Protocol Architecture \| CampusX	1:17:09	2025-09-12
75	Model Context Protocol - The Why \| MCP Trilogy \| CampusX	52:01	2025-09-07
76	Model Context Protocol \| Mini Playlist \| MCP Trilogy \| CampusX	37:07	2025-08-29
77	Tools in LangGraph \| Agentic AI using LangGraph \| CampusX	34:20	2025-08-24
78	Observability in LangGraph \| LangSmith Integration with LangGraph	21:40	2025-08-20
79	LangSmith Crash Course \| LangSmith Tutorial for Beginners \| Observability in GenAI \| CampusX	2:07:40	2025-08-18
80	FastAPI Course Launch	12:22	2025-08-11

81	LangGraph + SQLite \| Chatbot with Database Integration \| CampusX	28:48	2025-08-08
82	How to build a Resume Chat feature like ChatGPT? \| CampusX	39:40	2025-08-06
83	Streaming in LangGraph \| CampusX	25:00	2025-08-03
84	Building a Chatbot with UI in LangGraph & Streamlit \| CampusX	32:28	2025-08-01
85	Persistence in LangGraph \| Time Travel in LangGraph \| CampusX	58:14	2025-07-31
86	How to build a Chatbot using LangGraph	36:38	2025-07-25
87	Iterative Workflows in LangGraph \| Agentic AI using LangGraph \| Video 8 \| CampusX	37:14	2025-07-21
88	Conditional Workflows in LangGraph \| Agentic AI using LangGraph \| Video 7 \| CampusX	47:38	2025-07-16
89	Parallel Workflows in LangGraph \| Agentic AI using LangGraph \| Video 6 \| CampusX	59:29	2025-07-14
90	Sequential Workflows in LangGraph \| Agentic AI using LangGraph \| Video 5 \| CampusX	49:13	2025-07-11
91	LangGraph Core Concepts \| Agentic AI using LangGraph \| Video 4 \| CampusX	51:52	2025-07-09
92	LangChain Vs LangGraph \| Agentic AI using LangGraph \| Video 3 \| CampusX	1:27:29	2025-07-04
93	What is Agentic AI? \| Agentic AI using LangGraph \| Video 2 \| CampusX	1:00:25	2025-06-27
94	Generative AI vs Agentic AI \| Agentic AI using LangGraph \| Video 1 \| CampusX	1:02:44	2025-06-24
95	Agentic AI using LangGraph \| New Playlist \| LangGraph Tutorial	16:58	2025-06-17
96	How to Deploy a FastAPI API on AWS \| Video 10 \| CampusX	18:58	2025-06-08
97	FastAPI + Docker Tutorial for Beginners \| How to Dockerize a FastAPI API Application \| CampusX	19:22	2025-06-06
98	Improving the FastAPI API \| Video 8 \| CampusX	40:35	2025-06-04
99	Docker for Machine Learning \| Docker Crash Course \| CampusX	1:26:45	2025-05-31
100	Serving ML Models with FastAPI \| Video 7 \| CampusX	46:37	2025-05-29

101	My Unfiltered Talk on AI, Education & Career in Data Science	1:26:37	2025-05-27
102	PUT & DELETE in FastAPI \| Video 6 \| CampusX	31:11	2025-05-24
103	Post Request in FastAPI \| What is Request Body? \| Video 5 \| CampusX	35:42	2025-05-22
104	Pydantic Crash Course \| Data Validation in Python \| CampusX	1:25:31	2025-05-20
105	Path & Query Params in FastAPI \| Video 4 \| CampusX	41:12	2025-05-17
106	HTTP Methods in FastAPI \| Video 3 \| CampusX	27:01	2025-05-15
107	FastAPI Philosophy \| How to setup FastAPI \| Installation and Code Demo \| Video 2 \| CampusX	42:07	2025-05-13
108	What is an API? \| Introduction to APIs \| FAST API for Machine Learning \| CampusX	46:37	2025-05-09
109	Building end-to-end AI Agent in LangChain \| Generative AI using LangChain \| Video 18 \| CampusX	1:12:47	2025-05-01
110	Tool Calling in LangChain \| Generative AI using LangChain \| Video 17 \| CampusX	58:47	2025-04-26
111	Tools in LangChain \| Generative AI using LangChain \| Video 16 \| CampusX	45:16	2025-04-24
112	YouTube Chatbot using LangChain \| Building a RAG system in LangChain \| Video 15 \| CampusX	46:15	2025-04-22
113	Retrieval Augmented Generation \| What is RAG \| How does RAG Work \| RAG Explained \| CampusX	59:24	2025-04-19
114	Retrievers in LangChain \| Generative AI using LangChain \| Video 13 \| CampusX	51:10	2025-04-12
115	Vector Stores in LangChain \| Generative AI using LangChain \| Video 12 \| CampusX	50:31	2025-04-08
116	Text Splitters in LangChain \| Generative AI using LangChain \| Video 11 \| CampusX	59:01	2025-04-03
117	Document Loaders in LangChain \| Generative AI using LangChain \| Video 10 \| CampusX	56:44	2025-03-28
118	Langchain Runnables - Part 2 \| Generative AI using LangChain \| Video 9 \| CampusX	54:26	2025-03-23
119	What are Runnables in LangChain \| Generative AI using LangChain \| Video 8 \| CampusX	1:16:22	2025-03-20
120	300K Special \| DSMP 2 Course Discount \| CampusX	19:38	2025-03-18

121	Chains in LangChain \| Generative AI using LangChain \| Video 7 \| CampusX	54:01	2025-03-12
122	Output Parsers in LangChain \| Generative AI using LangChain \| Video 6 \| CampusX	53:13	2025-03-08
123	Ultimate Web Scraping for Data Science \| New Course \| CampusX \| Udemy	12:16	2025-03-04
124	Structured Output in LangChain \| Generative AI using LangChain \| Video 5 \| CampusX	1:08:13	2025-03-03
125	Prompts in LangChain \| Generative AI using LangChain \| Video 4 \| CampusX	1:18:33	2025-02-27
126	Next Word Predictor using Pytorch \| LSTM using PyTorch \| Video 14 \| CampusX	1:05:17	2025-02-17
127	LangChain Models \| Indepth Tutorial with Code Demo \| Video 3 \| CampusX	1:42:03	2025-02-12
128	RNN using PyTorch \| Question Answering System using PyTorch \| Video 13 \| CampusX	1:07:00	2025-02-10
129	LangChain Components \| GenAI using LangChain \| Video 2 \| CampusX	53:24	2025-02-08
130	Introduction to LangChain \| LangChain for Beginners \| Video 1 \| CampusX	37:44	2025-02-05
131	Transfer Learning using PyTorch \| Video 12 \| CampusX	53:17	2025-02-03
132	Generative AI using LangChain \| GENAI for Beginners \| CampusX	15:19	2025-02-01
133	GenAI Roadmap for Beginners \| End-to-End GenAI Course 2025 \| CampusX	50:15	2025-01-29
134	Building a CNN using PyTorch \| Video 11 \| CampusX	32:22	2025-01-21
135	Hyperparameter Tuning the ANN using Optuna \| Video 10 \| CampusX	56:13	2025-01-14
136	Add This Project to Your Portfolio \| EdTech Startup Data Analysis using PowerBI \| CampusX	2:35:26	2025-01-08
137	Optimizing the Neural Network \| Video 9 \| CampusX	28:44	2025-01-05
138	Power BI Roadmap for Beginners with Free Resources \| Updated for 2025 \| CampusX	49:03	2025-01-02
139	Neural Network Training on GPU \| Video 8 \| CampusX	10:54	2024-12-29
140	Best strategies to crack Data Jobs in 2025 \| Complete Roadmap & Tips for Freshers \| CampusX	1:20:17	2024-12-27

141	Building a ANN using PyTorch \| Video 7 \| CampusX	39:23	2024-12-24
142	Dataset & DataLoader Class in PyTorch \| Video 6 \| CampusX	51:42	2024-12-13
143	PyTorch NN Module \| Video 5 \| CampusX	39:27	2024-12-05
144	PyTorch Training Pipeline \| Video 4 \| CampusX	30:21	2024-12-02
145	PyTorch Autograd \| Video 3 \| CampusX	54:18	2024-11-29
146	How to build a ML project using MLOps \| MLOps for Beginners \| CampusX	1:21:11	2024-11-26
147	Data Analytics course for Beginners \| Data Analytics Mentorship Program - DAMP \| CampusX	24:10	2024-11-24
148	Tensors in PyTorch \| Video 2 \| CampusX	1:14:32	2024-11-21
149	PyTorch for Beginners \| Introduction to PyTorch \| Video 1 \| CampusX	51:29	2024-11-13
150	250K Subscribers \| Diwali Special \| CampusX	27:54	2024-10-28
151	Complete Deep Learning Roadmap \| CampusX	53:57	2024-10-14
152	Best Books to Learn Deep Learning \| My Favorite Books on Deep Learning	17:13	2024-09-28
153	Hyperparameter Tuning using Optuna \| Bayesian Optimization using Optuna	59:23	2024-09-24
154	Transformer Inference \| How Inference is done in Transformer? \| Deep Learning \| CampusX	45:12	2024-09-04
155	Transformer Decoder Architecture \| Deep Learning \| CampusX	48:26	2024-08-22
156	Cross Attention in Transformers \| 100 Days Of Deep Learning \| CampusX	34:07	2024-08-13
157	Deep Learning for Computer Vision \| CampusX Deep Learning Course \| DLCV	12:47	2024-08-01
158	Masked Self Attention \| Masked Multi-head Attention in Transformer \| Transformer Decoder	1:00:54	2024-07-26
159	Deploy ML Projects for Free \| Render Deployment Tutorial \| ML Deployment \| CampusX	25:27	2024-07-16
160	Transformer Architecture \| Part 1 Encoder Architecture \| CampusX	54:58	2024-07-10

161	Power BI Course Beginner to Pro \| End-to-End Course in with Industrial Projects \| CampusX	11:30	2024-06-27
162	ETL Pipeline in MLOps \| Data Management in MLOps \| CampusX	32:46	2024-06-18
163	200K Special \| Next 6 months roadmap \| DSMP 2 Discount \| CampusX	11:44	2024-06-09
164	Layer Normalization in Transformers \| Layer Norm Vs Batch Norm	46:57	2024-06-07
165	Positional Encoding in Transformers \| Deep Learning \| CampusX	1:13:15	2024-05-24
166	GenAI Free Courses \| AI Agents \| RAGs \| Stable Diffusion \| Bonus - Power BI & Object Dectection	10:30	2024-05-10
167	Free ML and DL Notes \| 100 Days of ML Notes \| 100 Days of DL Notes \| CampusX	3:42	2024-05-07
168	Imbalanced Data in Machine Learning \| Undersampling \| Oversampling \| SMOTE	57:17	2024-05-04
169	What are Foundation Models? \| Generative AI \| In-depth Explanation in Hindi \| CampusX	48:26	2024-04-22
170	What is Multi-head Attention in Transformers \| Multi-head Attention v Self Attention \| Deep Learning	38:27	2024-04-15
171	How Did He Crack Data Scientist Job in Such Tough Job Market ? \| Success Story 2024 \| CampusX DSMP	40:18	2024-04-11
172	Answering Your Doubts \| FAQ \| Free Courses on CampusX \| Starting 5th April \| ML \| DL \| MLOps \| GenAI	13:39	2024-04-05
173	FREE DATA SCIENCE COURSES 2024 \| PROJECT BASED COURSES \| GEN AI \| DEEP LEARNING \| MACHINE LEARNING	13:27	2024-04-01
174	Who is an AI Engineer \| Rise of AI Engineer Role in 2024 \| Data Scientist Vs AI Engineer in Hindi	40:13	2024-03-19
175	Why is Self Attention called "Self"? \| Self Attention Vs Luong Attention in Depth Lecture \| CampusX	22:35	2024-03-13
176	Self Attention Geometric Intuition \| How to Visualize Self Attention \| CampusX	20:52	2024-03-09
177	Scaled Dot Product Attention \| Why do we scale Self Attention?	50:42	2024-03-01
178	Master Jupyter Notebook with Python \| End to End Tutorial with Tricks in Hindi \| 2024 \| CampusX	39:09	2024-02-26
179	Master Scikit-learn for Machine Learning \| Sklearn Tutorial in Hindi \| CampusX \| DSMP Free Session	1:56:41	2024-02-13
180	Self Attention in Transformers \| Deep Learning \| Simple Explanation with Code!	1:23:24	2024-02-09

181	What is Self Attention \| Transformers Part 2 \| CampusX	23:21	2024-02-05
182	We Are Hiring Data Science Instructors \| Remote Work \| Opportunities at CampusX	15:24	2024-02-02
183	Introduction to Transformers \| Transformers Part 1	1:00:05	2024-01-28
184	How to Overcome the Fear of Maths in Data Science? \| Maths Roadmap for Machine Learning	25:58	2024-01-23
185	Bahdanau Attention Vs Luong Attention	52:33	2024-01-17
186	What is MLOps? \| MLOps Explained in Hindi \| End to End Explanation with Example	1:00:42	2024-01-11
187	Why Should You Learn MLOps in 2024? \| Software Systems Vs ML Systems \| MLOPs Roadmap	38:59	2023-12-31
188	Data Science Roadmap for 2024 \| 5 Levels \| End-to-End Data Science Roadmap	50:14	2023-12-27
189	Attention Mechanism in 1 video \| Seq2Seq Networks \| Encoder Decoder Architecture	41:24	2023-12-21
190	DBSCAN Clustering Algorithms \| Density Based Clustering \| How DBSCAN Works \| CampusX	34:16	2023-12-17
191	Encoder Decoder \| Sequence-to-Sequence Architecture \| Deep Learning \| CampusX	1:13:42	2023-12-10
192	Top 3 MLOps Resources #mlops #machinelearning #deeplearning	1:00	2023-12-06
193	Why you should read Research Papers in ML & DL? #machinelearning #deeplearning	0:57	2023-12-04
194	The Maths Behind XGBoost \| Machine Learning \| CampusX	1:57:28	2023-12-02
195	The Epic History of Large Language Models (LLMs) \| From LSTMs to ChatGPT \| CampusX	1:27:06	2023-11-22
196	XGBoost For Classification \| How XGBoost works on Classification Problems \| CampusX	39:08	2023-11-12
197	DSMP 2.0 Doubt Clearing Session \| YouTube Live \| Register Now	1:01:32	2023-11-07
198	CampusX Data Science Mentorship Program 2.0 \| Course Launch \| Register Now!	29:34	2023-11-04
199	My Favorite Data Science Resources \| My most used resources to learn Data Science \| CampusX	18:04	2023-10-30
200	Bidirectional RNN \| BiLSTM \| Bidirectional LSTM \| Bidirectional GRU	25:41	2023-10-27

201	XGBoost for Regression \| XGBoost Part 2 \| CampusX	47:17	2023-10-24
202	Deep RNNs \| Stacked RNNs \| Stacked LSTMs \| Stacked GRUs \| CampusX	45:08	2023-10-18
203	Introduction to XGBOOST \| Machine Learning \| CampusX	1:19:37	2023-10-14
204	Gated Recurrent Unit \| Deep Learning \| GRU \| CampusX	1:26:22	2023-10-05
205	CampusX DSMP 1.0 Course Review \| Student Feedback	24:23	2023-09-30
206	LSTM \| Part 3 \| Next Word Predictor Using \| CampusX	1:00:05	2023-09-12
207	LSTM Architecture \| Part 2 \| The How? \| CampusX	1:10:13	2023-08-30
208	LSTM \| Long Short Term Memory \| Part 1 \| The What? \| CampusX	42:18	2023-08-21
209	Gradient Boosting for Classification \| Geometric Intuition \| CampusX	1:04:33	2023-08-08
210	Explore my Data Science Bookshelf \| Must-Haves & Favorites \| CampusX	17:04	2023-07-25
211	100K Special \| My YouTube Journey \| Huge Discount on DSMP	15:21	2023-07-18
212	Will Artificial Intelligence Take Your Job?\| Will Your Job Survive? \| Dangers of AI \| CampusX	18:51	2023-07-11
213	Probability vs Likelihood \| Machine Learning Interview Question	28:48	2023-07-05
214	Is Learning AI and Machine Learning Worth It? \| My Simple Advice \| CampusX	13:39	2023-07-02
215	Linear Algebra Roadmap for Machine Learning and Deep Learning \| Complete Guide \| CampusX	15:48	2023-06-29
216	Statistics Roadmap for Data Science and Data Analysis \| Complete Guide \| Full Resources \| CampusX	12:40	2023-06-25
217	Mastering Probability for ML: Joint \| Marginal \| Conditional Probability and Bayes' Theorem	1:20:29	2023-06-23
218	Master Probability in Data Science: The Ultimate Crash Course! \| Part 1 \| CampusX	1:34:06	2023-06-20
219	ROC Curve in Machine Learning \| ROC-AUC in Machine Learning Simplified \| CampusX	1:11:15	2023-06-07
220	What is Reducible Vs Irreducible Error in Machine Learning \| Important Interview Question \| CampusX	15:06	2023-05-26

221	What is K Nearest Neighbors? \| KNN Explained in Hindi \| Simple Overview in 1 Video \| CampusX	52:01	2023-05-23
222	How to Showcase Relevant Experience as a Fresher in Data Science \| Pro Tips for Your Resume!	22:37	2023-05-19
223	Session 55 - Feature Selection Part 2 \| Wrapper Methods \| DSMP 2023	1:53:42	2023-05-14
224	Session 54 - Feature Selection Part 1 \| Filter Methods \| Variance Threshold \| Chi-Square \| DSMP 2023	2:06:00	2023-05-11
225	Session 53 - Session on Multicollinearity \| DSMP 2023	2:11:54	2023-05-08
226	DSMP 2023 May Schedule \| CampusX Data Science Mentorship Program	5:31	2023-05-01
227	Level Up Your Data Science Skills with ChatGPT \| Unlock the Secrets of AI-Assisted Learning	50:48	2023-04-20
228	Session 50 - Multiple Linear Regression \| DSMP 2023	1:49:41	2023-04-20
229	Simple Linear Regression \| Lecture 49 \| DSMP 2023	2:11:50	2023-04-18
230	Introduction to Machine Learning	3:26:18	2023-04-17
231	Supercharge Your ML Journey: Mastering Vectors in Linear Algebra - Part 1	1:31:58	2023-04-12
232	Session 46 - Hypothesis Testing Part 2 \| p-values \| t-tests \| DSMP 2023	2:11:36	2023-04-06
233	Session 45 - Hypothesis Testing Part 1 \| DSMP 2023	1:59:16	2023-04-05
234	April Schedule \| CampusX Data Science Mentorship Program 2023	12:00	2023-04-03
235	Session 44 - Confidence Intervals \| DSMP 2023	2:10:01	2023-03-31
236	Session 43 - Central Limit Theorem \| DSMP 2023	1:51:35	2023-03-29
237	Session 42 - Non-Gaussian Probability Distributions \| DSMP 2023	2:16:04	2023-03-24
238	Session 41 - Normal Distribution \| DSMP 2023	2:01:29	2023-03-21
239	Session 40 - Probability Distribution Functions - PDF, PMF & CDF \| DSMP 2023	2:09:55	2023-03-16
240	Session 39 - Descriptive Statistics Part 2 \| DSMP 2023	1:55:42	2023-03-13

241	Session 38 - Descriptive Statistics Part 1 \| DSMP 2023	1:52:26	2023-03-10
242	CampusX DSMP March Schedule \| Dher Sara Statistics!!!	7:37	2023-03-05
243	Session 37 (Cont..) - Window Functions Part 3 \| SQL Tutorial	53:24	2023-03-02
244	Session 37 - Window Functions Part 2 \| SQL Tutorials	47:11	2023-03-01
245	Session 36 - Window Functions in SQL \| DSMP 2023	1:40:05	2023-02-28
246	Session 35 - Subqueries in SQL \| DSMP 2023	2:18:27	2023-02-23
247	Session 34 - SQL Joins\| DSMP 2023	2:10:29	2023-02-20
248	Session 33 - SQL Grouping + Sorting \| DSMP 2023	2:05:28	2023-02-15
249	Session 32 - SQL DML Commands \| DSMP 2023	2:04:00	2023-02-14
250	Session 31 - SQL DDL Commands \| DSMP 2023	2:04:45	2023-02-08
251	Session 30 - Database Fundamentals \| DSMP 2022-23	2:15:15	2023-02-06
252	Session 29 - Exploratory Data Analysis \| Data Analysis Process \| DSMP 2022-23	2:30:10	2023-02-01
253	Build a Data Scientist's Dream LinkedIn Profile with ChatGPT	45:45	2023-01-31
254	Month of SQL \| CampusX DSMP 2023 \| Feb Schedule	13:15	2023-01-31
255	Session 28 - Data Assessing and Cleaning \| DSMP 2022-23	2:26:37	2023-01-25
256	Session 27 - Data Gathering \| Data Analysis Process \| DSMP 2023	2:50:04	2023-01-23
257	Session 26 - Plotting using Seaborn Part 2 \| DSMP 2022-23	1:41:05	2023-01-20
258	Data Structures and Algorithms using Python \| Mega Video \| DSA in Python in 1 video	11:41:30	2023-01-17
259	Session 25 - Plotting using Seaborn \| DSMP 2022-23	1:50:09	2023-01-16
260	Session 24 - Advanced Matplotlib \| DSMP 2022-23	2:13:23	2023-01-11

261	How to master programming as a beginner \| A complete guide for non-techies	49:07	2023-01-10
262	Session 23 - Plotting using Matplotlib \| DSMP 2022-23	2:06:30	2023-01-09
263	Talking Data Science with Pranjal Yadav \| Staff Data Scientist Razorpay	1:24:38	2023-01-08
264	Session 22 - Vectorized String Operations \| DateTime in Pandas \| Pivot Table \| DSMP 2022-23	2:06:25	2023-01-05
265	Session 21 - MultiIndex Series and DataFrames \| DSMP 2022-23	1:57:55	2023-01-03
266	CampusX DSMP 2023 January Schedule	9:57	2023-01-02
267	Session 20 - Merging, Joining & Concatenating \| DSMP 2022-23	2:15:18	2022-12-21
268	Session 19 - GroupBy Object in Pandas \| Data Science Mentorship Program (DSMP) 2022-23	2:09:07	2022-12-20
269	Problems with RNN \| 100 Days of Deep Learning	32:18	2022-12-19
270	Session 18 - Important DataFrame Methods \| Data Science Mentorship Program (DSMP) 2022-23	2:12:15	2022-12-15
271	Session 17 - Pandas DataFrame \| Data Science Mentorship Program (DSMP) 2022-23 \| Free Session	2:08:27	2022-12-14
272	Important Series Methods \| Supplementary Session \| DSMP 2022-23	25:09	2022-12-14
273	Session 16 - Pandas Series\| Data Science Mentorship Program (DSMP) 2022-23 \| Free Session	2:07:18	2022-12-13
274	Session 15 - Numpy Tricks \| Data Science Mentorship Program (DSMP) 2022-23 \| Free Session	1:30:35	2022-12-08
275	Session 14 - Advanced Numpy \| Data Science Mentorship Program (DSMP) 2022-23 \| Free Session	1:49:15	2022-12-08
276	Feedback Form for November \| Data Science Mentorship Program(DSMP) 2022-23	3:59	2022-12-07
277	Session 13 - Numpy Fundamentals \| Data Science Mentorship Program (DSMP) 2022-23 \| Free Session	2:01:53	2022-12-06
278	Resume Building for Data Scientist \| Career Pe Charcha \| DSMP 2022-23	48:09	2022-12-05
279	How Backpropagation works in RNN \| Backpropagation Through Time	33:58	2022-12-01
280	Schedule for December + Program Improvements \| CampusX Data Science Mentorship Program (DSMP 2022)	21:05	2022-12-01

281	Session 12 - Decorators & Namespaces \| DSMP 2022 - 23	1:59:01	2022-12-01
282	Session 11 - Exception Handling & Modules and Packages \| DSMP 2022 - 23	1:29:58	2022-11-30
283	Session 10 - File Handling + Serialization & Deserialization \| DSMP 2022 - 23	2:05:19	2022-11-28
284	What is Abstraction \| OOP Concept \| Python	14:53	2022-11-26
285	New Website Launch \| DSMP 2022-23	21:17	2022-11-25
286	OOP Part 3 \| Inheritance & Polymorphism \| Static \| Data Science Mentorship Program(DSMP) 2022-23	2:14:55	2022-11-24
287	OOP Part 2 \| Encapsulation & Static Keyword \| Static \| Data Science Mentorship Program(DSMP) 2022-23	2:15:51	2022-11-23
288	OOP Part 1 \| Class & Object \| Data Science Mentorship Program(DSMP) 2022-23	2:13:57	2022-11-21
289	Interview with Shyam \| Fresher Data Scientist \| 11+ LPA	24:28	2022-11-21
290	Types of RNN \| Many to Many \| One to Many \| Many to One RNNs	22:20	2022-11-17
291	Session 6 - Functions in Python \| Data Science Mentorship Program(DSMP) 2022-23	2:15:47	2022-11-16
292	Session 5 - Tuples + Sets + Dictionary \| Data Science Mentorship Program(DSMP) 2022-23	2:16:37	2022-11-15
293	Session 4 - Lists in Python \| Data Science Mentorship Program(DSMP) 2022-23	2:07:02	2022-11-14
294	How to Build a Portfolio Website for Data Science	48:14	2022-11-10
295	Programming Problems on Strings \| Session 3 Supplementary Session	29:12	2022-11-10
296	Session 3 - Python Strings \| CampusX Data Science Mentorship Program \| 9th Nov 2022	2:22:54	2022-11-09
297	RNN Sentiment Analysis \| RNN Code Example in Keras \| CampusX	36:57	2022-11-09
298	Session 2 - Operators + If-Else + Loops \| CampusX Data Science Mentorship Program \| 8th Nov 2022	2:11:35	2022-11-08
299	Session 1 - Python Fundamentals \| CampusX Data Science Mentorship Program \| 7th Nov 2022	2:10:23	2022-11-07
300	CampusX Data Science Mentorship Program Orientation Session	1:25:13	2022-11-03

301	Recurrent Neural Network \| Forward Propagation \| Architecture	41:44	2022-10-29
302	CampusX Data Science Mentorship Program Live QnA	1:32:45	2022-10-26
303	Why RNNs are needed \| RNNs Vs ANNs \| RNN Part 1	30:19	2022-10-23
304	Top 10 Computer Vision Projects \| Best Computer Vision Projects using OpenCV & CNN	18:36	2022-10-17
305	Keras Functional Model \| How to build non-linear Neural Networks?	25:38	2022-10-14
306	What is Transfer Learning? Transfer Learning in Keras \| Fine Tuning Vs Feature Extraction	33:53	2022-10-10
307	What does a CNN see? \| Visualizing CNN Filters and Feature Maps \| CampusX	13:03	2022-10-06
308	Pretrained models in CNN \| ImageNET Dataset \| ILSVRC \| Keras Code	24:28	2022-10-03
309	Top 3 books for Machine Learning	0:59	2022-09-24
310	Is DSA Required to learn Data Science?	1:00	2022-09-23
311	Data Augmentation in Deep Learning \| CNN	26:49	2022-09-21
312	Cat Vs Dog Image Classification Project \| Deep Learning Project \| CNN Project	27:29	2022-09-19
313	CNN Backpropagation Part 2 \| How Backpropagation works on Convolution, Maxpooling and Flatten Layers	43:27	2022-09-15
314	Why You Need To learn AI And Machine Learning Right Now?	17:59	2022-09-13
315	Backpropagation in CNN \| Part 1 \| Deep Learning	36:21	2022-09-10
316	Comparing CNN Vs ANN \| CampusX	17:42	2022-09-08
317	Software Engineer to Data Scientist \| TheMathCompany \| 10+ LPA Package	35:47	2022-09-06
318	CNN Architecture \| LeNet -5 Architecture	20:00	2022-09-04
319	Pooling Layer in CNN \| MaxPooling in Convolutional Neural Network	27:54	2022-09-02
320	Should I Start A Mentorship Program \| Need Suggestions	5:08	2022-08-31

321	How to learn difficult Data Science concepts \| My Learning Method	9:47	2022-08-29
322	Padding & Strides in CNN \| CNN Lecture 4 \| Deep Learning	24:26	2022-08-27
323	Google SQL Interview Question \| User Session Histogram	13:36	2022-08-25
324	CNN Part 3 \| Convolution Operation	29:14	2022-08-23
325	Data Science QnA \| 21 August 2022	1:12:46	2022-08-21
326	CNN Vs Visual Cortex \| The Famous Cat Experiment \| History of CNN	15:02	2022-08-19
327	What is Convolutional Neural Network (CNN) \| CNN Intution	27:10	2022-08-17
328	Keras Tuner \| Hyperparameter Tuning a Neural Network	1:05:34	2022-08-11
329	How I would learn Data Science( If I had to start over! ) \| Don't Make these Mistakes in 2024	18:08	2022-08-09
330	Adam Optimizer Explained in Detail with Animations \| Optimizers in Deep Learning Part 5	12:39	2022-08-07
331	RMSProp Explained in Detail with Animations \| Optimizers in Deep Learning Part 5	12:38	2022-08-05
332	AdaGrad Explained in Detail with Animations \| Optimizers in Deep Learning Part 4	26:29	2022-08-03
333	How to Talk About Previous Data Science Projects in Interviews \| Project Based Questions Interview	26:38	2022-08-01
334	Design the Best Reward Function \| Reinforcement Learning Part-6	27:58	2022-07-28
335	Nesterov Accelerated Gradient (NAG) Explained in Detail \| Animations \| Optimizers in Deep Learning	27:50	2022-07-26
336	How to Save Yourself from Ed-Tech Scams?	23:04	2022-07-24
337	Deep Learning meets Reinforcement Learning \| Reinforcement Learning Part-5	57:42	2022-07-22
338	SGD with Momentum Explained in Detail with Animations \| Optimizers in Deep Learning Part 2	38:25	2022-07-20
339	Exponentially Weighted Moving Average or Exponential Weighted Average \| Deep Learning	18:51	2022-07-18
340	Introducing Neural Networks into RL \| Reinforcement Learning Part-4	34:03	2022-07-16

341	Fresher Success Story \| Data Analyst at Tiger Analytics \| Cracked Fractal Analytics	55:42	2022-07-14
342	How to train our first Reinforcement Learning agent! \| Reinforcement Learning Part-3	41:22	2022-07-12
343	How do RL agents really learn? \| Reinforcement Learning Part-2	25:06	2022-07-08
344	Optimizers in Deep Learning \| Part 1 \| Complete Deep Learning Course	22:34	2022-07-06
345	What is Reinforcement Learning? \| Reinforcement Learning Part-1 in Hindi \| CampusX	14:50	2022-07-04
346	Batch Normalization in Deep Learning \| Batch Learning in Keras	43:39	2022-07-01
347	Why Multicollinearity is Bad? What is Multicollinearity? How to detect and remove Multicollinearity	17:35	2022-06-29
348	What is Online Machine Learning? How is it different from Offline ML? List some of it’s applications	12:31	2022-06-29
349	Difference between convex & non-convex cost function; what happens when cost function is non-convex?	10:00	2022-06-29
350	Give an example of when False positive is more crucial than false negative and vice versa	10:36	2022-06-29
351	Why KNN is known as a lazy learning technique?	8:03	2022-06-29
352	How do you decide when to use deep learning or machine learning for a project?	9:36	2022-06-29
353	What are the main differences between Structured and Unstructured Data?	5:41	2022-06-29
354	What are the main differences between Bagging and Boosting?	6:07	2022-06-29
355	Imagine you are working with a laptop of 2GB RAM, how would you process a dataset of 10GB? \| OOC ML	10:15	2022-06-29
356	Give an example where the median is a better measure than the mean.	5:01	2022-06-29
357	What do you mean by the unreasonable effectiveness of data?	3:39	2022-06-29
358	What do you mean by semi supervised learning? \| Interview Question	2:42	2022-06-29
359	What is No Free Lunch Theorem in Machine Learning? \| Interview Question	2:42	2022-06-29
360	Why is 'Naïve' Bayes naïve? \| Interview Question	8:16	2022-06-29

361	What is an OOB error and how is it useful? \| Interview Question	5:10	2022-06-29
362	Why Logistic Regression is called Regression? \| ML Interview Question	2:48	2022-06-29
363	In what scenario decision tree should be preferred over random forest? \| ML Interview Question	4:33	2022-06-29
364	What is the difference between Parametric & Non-Parametric ML Algorithms?	16:06	2022-06-29
365	Good College Vs Bad College \| Choro Kaam Ki Baatein	19:49	2022-06-27
366	Xavier/Glorat And He Weight Initialization in Deep Learning	21:07	2022-06-25
367	Weight Initialization Techniques \| What not to do? \| Deep Learning	49:24	2022-06-23
368	What are the main Assumptions of Linear Regression? \| Top 5 Assumptions of Linear Regression	17:38	2022-06-20
369	100 Most Common Interview Questions on Machine Learning \| With Solutions	3:54	2022-06-17
370	Best Service Based Company In Data Science \| Product Vs Service Based Company \| Salary Details	31:52	2022-06-15
371	Relu Variants Explained \| Leaky Relu \| Parametric Relu \| Elu \| Selu \| Activation Functions Part 2	33:25	2022-06-09
372	Data Science Interview Preparation Part 1 \| Types of Questions Asked \| CampusX Live	1:03:57	2022-06-08
373	100 Python Problems with Solutions for Beginners \| Most Common Python Programs for Practice	6:53	2022-06-05
374	How Uber uses Machine Learning \| Uber Machine Learning Case Study	27:34	2022-06-03
375	Activation Functions in Deep Learning \| Sigmoid, Tanh and Relu Activation Function	44:52	2022-06-01
376	Breed \| Episode 2 \| Choro Kaam Ki Baatien	20:22	2022-05-30
377	Book Recommender System \| Machine Learning Project \| Collaborative Filtering Based Recommender	1:43:34	2022-05-27
378	News Application in Python \| Inshorts Clone using Python \| GUI + OOP + API Tutorial in Python	34:26	2022-05-24
379	How Swiggy uses Machine Learning \| Case Study \| CampusX	25:05	2022-05-21
380	Regularization in Deep Learning \| L2 Regularization in ANN \| L1 Regularization \| Weight Decay in ANN	35:57	2022-05-20

381	Calculator GUI Application using Python \| Tkinter Tutorial \| Python Mini Project	29:42	2022-05-18
382	SQL Case Study \| Swiggy Case Study \| CampusX Live	1:36:35	2022-05-18
383	Wallpaper Viewer Application using Python \| Tkinter GUI Tutorial \| Mini Project	13:26	2022-05-16
384	Build GUIs Using Python \| Python Tkinter in 30 mins \| Login App GUI	28:24	2022-05-16
385	Dropout Layers in ANN \| Code Example \| Regression \| Classification	19:17	2022-05-15
386	F*ck Convention \| Choro Kaam Ki Baatein \| CampusX Podcast	16:00	2022-05-14
387	SQL Interview Question Part 2 \| CampusX Live	1:41:31	2022-05-14
388	Dropout Layer in Deep Learning \| Dropouts in ANN \| End to End Deep Learning	27:51	2022-05-12
389	Top 10 most common SQL queries \| SQL Interview Questions For Data Science \| CampusX Live 1	1:26:10	2022-05-11
390	20K Subscribers Milestone \| Channel Updates	7:28	2022-05-07
391	Data Scaling in Neural Network \| Feature Scaling in ANN \| End to End Deep Learning Course	16:55	2022-05-05
392	Early Stopping In Neural Networks \| End to End Deep Learning Course	12:00	2022-05-02
393	How to Improve the Performance of a Neural Network	30:24	2022-04-29
394	Join My Discord Community \| CampusX Discord Community	13:56	2022-04-25
395	Vanishing Gradient Problem in ANN \| Exploding Gradient Problem \| Code Example	32:16	2022-04-17
396	Gradient Descent in Neural Networks \| Batch vs Stochastics vs Mini Batch Gradient Descent	37:53	2022-04-14
397	The Story of My YouTube Failure \| How I failed on YouTube \| An Analytical Study using Python	33:34	2022-04-11
398	MLP Memoization \| Complete Deep Learning Playlist	25:24	2022-04-09
399	Can you solve this puzzle?	2:50	2022-04-07
400	Backpropagation Part 3 \| The Why \| Complete Deep Learning Playlist	40:21	2022-04-05

401	Backpropagation Part 2 \| The How \| Complete Deep Learning Playlist	59:56	2022-04-03
402	Why I am Quitting YouTube? My last YouTube video...	12:10	2022-04-01
403	Backpropagation in Deep Learning \| Part 1 \| The What?	54:19	2022-03-30
404	Data Science Interview Questions \| Part 1 \| Machine Learning Interview Questions	2:06:03	2022-03-26
405	Loss Functions in Deep Learning \| Deep Learning \| CampusX	59:56	2022-03-23
406	Generators in Python \| Advanced Python Programming	24:53	2022-03-15
407	What is Iterators in Python?	38:09	2022-03-13
408	Graduate Admission Prediction using ANN	17:43	2022-03-11
409	Handwritten Digit Classification using ANN \| MNIST Dataset	28:40	2022-03-09
410	Customer Churn Prediction using ANN \| Keras and Tensorflow \| Deep Learning Classification	35:23	2022-03-07
411	Forward Propagation \| How a neural network predicts output?	15:31	2022-03-05
412	MLP Notation	13:24	2022-03-03
413	Multi Layer Perceptron \| MLP Intuition	37:46	2022-03-01
414	Problem with Perceptron	7:39	2022-02-27
415	Perceptron Loss Function \| Hinge Loss \| Binary Cross Entropy \| Sigmoid Function	59:13	2022-02-25
416	Perceptron Trick \| How to train a Perceptron \| Perceptron Part 2 \| Deep Learning Full Course	51:45	2022-02-23
417	What is a Perceptron? Perceptron Vs Neuron \| Perceptron Geometric Intuition	38:34	2022-02-21
418	Types of Neural Networks \| History of Deep Learning \| Applications of Deep Learning	33:16	2022-02-19
419	What is Deep Learning? Deep Learning Vs Machine Learning \| Complete Deep Learning Course	1:06:58	2022-02-17
420	100 Days of Deep Learning \| Course Announcement	18:32	2022-02-15

421	Duplicate Question Pairs \| Quora Question Pairs \| NLP Projects \| End to End NLP Project \| Heroku	1:25:04	2022-02-12
422	Higher Education in Data Science \| Should you pursue higher education in Data Science?	40:29	2022-02-08
423	Data Analyst Roadmap \| How to become a Data Analyst in 2022?	52:13	2022-02-05
424	Tips and Tricks to Learn Data Science Faster \| How to Learn Data Science Smartly	32:51	2022-02-02
425	Live QnA Session #2 \| Advise from my personal journey into Data Science	42:45	2022-01-31
426	My Top YouTube Channels for ML @bhattbhavesh91 @UnfoldDataScience @codebasics @krishnaik06	16:27	2022-01-27
427	Complete OOP in Python in 1 Video \| End to End OOP in Python in 4 hours	4:02:58	2022-01-24
428	POS Tagging \| Part of Speech Tagging in NLP \| Hidden Markov Models in NLP \| Viterbi Algorithm in NLP	1:01:41	2022-01-21
429	Lambda Functions in Python \| Map, Filter and Reduce \| Higher Order Functions in Python	34:58	2022-01-18
430	Machine Learning Roadmap 2022 \| How to learn Data Science in 2022	2:34:41	2022-01-15
431	Recursion using Python \| Recursion with examples \| Memoization	45:07	2022-01-12
432	Functions in Python \| End to End Video \| Complete Video	1:03:35	2022-01-09
433	Text Classification \| NLP Lecture 6 \| End to End \| Average Word2Vec	52:11	2022-01-06
434	Python Deep Dive \| Mutability \| Garbage Collection \| Variable Referencing	51:30	2022-01-02
435	Word2vec Complete Tutorial \| CBOW and Skip-gram \| Game of Thrones Word2vec	1:16:01	2021-12-30
436	Python Dictionary \| Complete Explanation in Hindi \| 100 Days of Python Programming	17:29	2021-12-26
437	Python Sets \| Complete Explanation in Hindi \| 100 Days of Python Programming	18:05	2021-12-25
438	Python Tuples \| Complete Explanation in Hindi \| 100 Days of Python Programming	12:15	2021-12-24
439	Python Lists \| Complete Explanation in Hindi \| 100 Days of Python Programing	33:48	2021-12-23
440	10K Subs Surprises \| Major Announcements \| Live Stream #1 \| Dec 21 2021	1:01:56	2021-12-22

441	10K Subscribers Milestone \| Thank You All	2:47	2021-12-17
442	Text Representation \| NLP Lecture 4 \| Bag of Words \| Tf-Idf \| N-grams, Bi-grams and Uni-grams	1:44:38	2021-12-16
443	Text Preprocessing \| NLP Course Lecture 3	1:07:48	2021-12-10
444	Top 10 Doubts of Data Science Job Aspirants in India	27:01	2021-12-06
445	End to End NLP Pipeline \| NLP Pipeline \| Lecture 2 NLP Course	1:18:52	2021-12-02
446	Top 11 NLP Projects for Portfolio \| Best NLP Projects for Students \| 2024	36:34	2021-11-29
447	Introduction to NLP \| NLP Lecture 1 \| End to End NLP Course	47:49	2021-11-25
448	Complete NLP Roadmap \| How to become a NLP Engineer	25:44	2021-11-22
449	NLP Course Announcement	17:13	2021-11-18
450	Agglomerative Hierarchical Clustering \| Python Code Example	37:23	2021-11-07
451	My Favorite Blogs For Data Science \| Top 10 Blogs For Data Science	15:44	2021-11-05
452	How To Get Your First Job In Data Science \| Why You Are Not Getting A Job In Data Science	35:49	2021-11-01
453	How To Upload Dataset On Kaggle	19:55	2021-10-30
454	Everything You Need To Know About Kaggle \| Kaggle For Beginners	31:25	2021-10-28
455	Complete SQL Course For Data Science \| SQL For Data Science in 6 Hrs	5:42:57	2021-10-26
456	Complete SQL Roadmap For Data Science \| Free Course and Interview Questions For SQL	31:30	2021-10-24
457	How To Learn Python For Data Science In 14 Days \| Complete Roadmap With Learning Resources	20:23	2021-10-22
458	What is Benford's Law \| Benford's Law in Data Science	10:33	2021-10-20
459	T20 World Cup Cricket Score Predictor \| Machine Learning Project	1:06:37	2021-10-18
460	T20 World Cup Cricket Score Prediction \| Project Demo \| Machine Learning Project	7:59	2021-10-16

461	IPL Win Probability Predictor Project \| End to End Machine Learning Project	1:11:54	2021-10-14
462	IPL Win Probability Predictor Project Demo	7:14	2021-10-12
463	How To Build A Kickass Data Science Portfolio \| Portfolio For Data Science	31:51	2021-10-10
464	Find Similar Game of Thrones Character using Machine Learning \| Visualizing High Dimensional Data	30:44	2021-10-08
465	Top 5 Mistakes While Learning Data Science \| How Not To Learn Data Science \| Practical Tips	16:05	2021-10-04
466	How Many Subscribers Will I Have By 2025 \| Introduction to Time Series Forecasting using Prophet	14:35	2021-10-02
467	Stacking and Blending Ensembles	35:20	2021-09-30
468	My Favorite Data Science Books \| Free and Paid Resources	20:13	2021-09-28
469	8 Projects To Get A Data Science Job \| Projects for Data Science Portfolio	31:51	2021-09-26
470	How To Select A Project In Data Science? \| 5 Tips To Select Projects In Data Science	10:41	2021-09-24
471	How to become a Rockstar Data Scientist? \| 4 Actionable Points	17:57	2021-09-22
472	Gradient Boosting Regression Part 2 \| Mathematics of Gradient Boosting	56:42	2021-09-20
473	Machine Learning Android App \| How to convert ML model to an Android App	48:10	2021-09-17
474	Which Bollywood Celebrity Are You? \| End to End Deep Learning Project	1:20:49	2021-09-15
475	Introduction to Face Detection using MTCNN	30:48	2021-09-12
476	Gradient Boosting Explained \| How Gradient Boosting Works?	32:49	2021-09-09
477	Which Bollywood Celebrity Are You? Project Teaser	3:56	2021-09-02
478	Fashion Recommender System \| Clothes Recommendation \| Ecommerce Project	1:23:49	2021-09-01
479	Fashion Recommendation System \| Project Teaser	4:13	2021-08-31
480	How To Deploy A Machine Learning Model On AWS EC2 \| AUG 2021 Updated \| ML Model To Flask Website	39:29	2021-08-28

481	K-Means Clustering Algorithm in Python \| Practical Example \| Student Clustering Example \| sklearn	10:13	2021-08-26
482	K-Means Clustering Algorithm From Scratch In Python \| ML Algorithms From Scratch	33:53	2021-08-25
483	K-Means Clustering Algorithm \| Geometric Intuition \| Clustering \| Unsupervised Learning	23:58	2021-08-24
484	How to train a ML model on a dataset with 3 crore rows?	15:40	2021-08-20
485	What is Out-of-core Machine Learning?	10:46	2021-08-20
486	Bagging Vs Boosting \| What is the difference between Bagging and Boosting	6:17	2021-08-18
487	AdaBoost Hyperparameters \| GridSearchCV in Adaboost	11:13	2021-08-17
488	AdaBoost Algorithm \| Code from Scratch	16:27	2021-08-16
489	Laptop Price Predictor \| Machine Learning Project	1:36:12	2021-08-12
490	Laptop Price Prediction \| Project Teaser	5:07	2021-08-11
491	AdaBoost - A Step by Step Explanation	19:23	2021-08-10
492	How Adaboost Classifier Works? \| Geometric Intuition	17:14	2021-08-09
493	Posture detection using PoseNet \| Machine Learning in Javascript \| ml5js PoseNet \| Deep Learning	1:07:15	2021-08-05
494	PoseNet Project Teaser \| Detecting Pose using Deep Learning 😄😄😄 \| Check Description for full project	1:14	2021-08-04
495	Build a Chatbot in 1 hour \| Python Chatbot Telegram \| DialogFlow Tutorial \| Chatbot Tutorial	1:13:04	2021-08-03
496	How To Build A Chatbot \| Project Teaser Full Video Coming Soon	2:51	2021-08-02
497	Learn to build Funny Chatbot \| Subscribe	0:56	2021-08-02
498	Feature Importance using Random Forest and Decision Trees \| How is Feature Importance calculated	27:20	2021-07-30
499	Software Engineering Vs Data Science \| Salary Comparison \| Which one should you choose?	15:21	2021-07-29
500	OOB Score \| Out of Bag Evaluation in Random Forest \| Machine Learning	6:45	2021-07-28

501	Olympics Data Analysis \| Data Analysis Project \| Machine Learning with Deployment	2:34:39	2021-07-27
502	Project Teaser \| Olympics Analysis Web Application \| Video Dropping on 27th July 2021	8:19	2021-07-27
503	Hyperparameter Tuning Random Forest using GridSearchCV and RandomizedSearchCV \| Code Example	11:44	2021-07-26
504	Random Forest Hyper-parameters	15:17	2021-07-23
505	Bagging Vs Random Forest \| What is the difference between Bagging and Random Forest \| Very Important	12:02	2021-07-22
506	How Random Forest Performs So Well? Bias Variance Trade-Off in Random Forest	12:52	2021-07-20
507	Introduction to Random Forest \| Intuition behind the Algorithm	33:55	2021-07-19
508	WhatsApp Chat Analysis Project \| End to End Project with Heroku Deployment	2:30:29	2021-07-14
509	WhatsApp Chat Analysis Project Teaser \| Video coming soon	8:28	2021-07-14
510	Introduction to Ensemble Learning \| Ensemble Techniques in Machine Learning	37:43	2021-07-12
511	String Functions in Python \| Part 5	19:07	2021-07-12
512	String Operations in Python \| Part 4	8:36	2021-07-12
513	Editing and Deleting Strings in Python \| Part 3	4:58	2021-07-12
514	Accessing Substrings from a String \| Indexing and Slicing in Python Strings \| Part 2	10:31	2021-07-12
515	Strings in Python \| Part 1	6:58	2021-07-12
516	Email Spam Classifier \| SMS Spam Classifier \| End to End Project \| Heroku Deployment	1:39:39	2021-07-10
517	Email Spam Classifier End to End Project Teaser \| Full Video coming soon	2:50	2021-07-10
518	Movie Recommender System Project \| Content Based Recommender System with Heroku Deployment	2:17:42	2021-07-07
519	Built-in Modules in Python \| How to use Modules in Python	10:15	2021-07-06
520	Movie Recommender System Project -Teaser	2:47	2021-07-06

521	Regression Trees \| Decision Trees Part 3	35:15	2021-07-05
522	Built-in Functions in Python	10:41	2021-07-05
523	Decision Trees - Hyperparameters \| Overfitting and Underfitting in Decision Trees	27:23	2021-07-03
524	Decision Trees Geometric Intuition \| Entropy \| Gini impurity \| Information Gain	58:29	2021-07-02
525	Logistic Regression Hyperparameters \|\| Logistic Regression Part 8	13:07	2021-06-30
526	Polynomial Features in Logistic Regression \| Non Linear Logistic Regression \| Logistic Regression 7	9:11	2021-06-29
527	Break, Continue and Pass Statements in Python	7:38	2021-06-29
528	How to view Sklearn Library Source Code \| Machine Learning Tips and Tricks	5:50	2021-06-29
529	Softmax Regression \|\| Multinomial Logistic Regression \|\| Logistic Regression Part 6	38:21	2021-06-28
530	Nested Loops in Python	6:51	2021-06-28
531	For Loop In Python	9:38	2021-06-26
532	Guessing Game in Python	9:22	2021-06-25
533	Precision, Recall and F1 Score \| Classification Metrics Part 2	42:42	2021-06-24
534	While Loop in Python \| Day 8 \| 100 Days of Python Programming	11:09	2021-06-24
535	Accuracy and Confusion Matrix \| Type 1 and Type 2 Errors \| Classification Metrics Part 1	34:08	2021-06-23
536	If-else Statements in Python \| Nested If-else \| Day 7 \| 100 Days of Python Programming	13:22	2021-06-23
537	Indentation in Python \| Day 7 \| 100 Days of Python Programming	9:08	2021-06-22
538	Logistic Regression Part 5 \| Gradient Descent & Code From Scratch	36:42	2021-06-21
539	Operators in Python \| 100 Days of Python Programming	15:31	2021-06-21
540	Literals in Python \| 100 Days of Python Programming	9:49	2021-06-19

541	Derivative of Sigmoid Function	5:57	2021-06-19
542	Logistic Regression Part 4 \| Loss Function \| Maximum Likelihood \| Binary Cross Entropy	29:03	2021-06-18
543	Type Conversion in Python	8:24	2021-06-18
544	Logistic Regression Part 3 \| Sigmoid Function \| 100 Days of ML	40:44	2021-06-17
545	Taking user input in Python \| The input function	10:25	2021-06-17
546	Logistic Regression Part 2 \| Perceptron Trick Code	17:07	2021-06-16
547	Keywords and Identifiers in Python	8:27	2021-06-16
548	Logistic Regression Part 1 \| Perceptron Trick	47:06	2021-06-15
549	Variables in Python \| Dynamic Typing \| Dynamic Binding in Python	10:17	2021-06-15
550	Comments in Python \| 100 Days of Python Programming	3:08	2021-06-14
551	ElasticNet Regression \| Intuition and Code Example \| Regularized Linear Models	11:41	2021-06-12
552	Data Types in Python \| 100 Days of Python Programming	7:59	2021-06-12
553	Why Lasso Regression creates sparsity?	24:30	2021-06-11
554	Print Function in Python \| 100 Days of Python Programming	7:04	2021-06-11
555	Lasso Regression \| Intuition and Code Sample \| Regularized Linear Models	28:37	2021-06-10
556	5 Key Points - Ridge Regression \| Part 4 \| Regularized Linear Models	30:17	2021-06-08
557	Ridge Regression Part 3 \| Gradient Descent \| Regularized Linear Models	18:43	2021-06-04
558	Ridge Regression Part 2 \| Mathematical Formulation & Code from scratch \| Regularized Linear Models	43:41	2021-06-03
559	Ridge Regression Part 1 \| Geometric Intuition and Code \| Regularized Linear Models	19:58	2021-06-02
560	Polynomial Regression \| Machine Learning	26:46	2021-05-29

561	Mini-Batch Gradient Descent	22:10	2021-05-26
562	Stochastic Gradient Descent	49:35	2021-05-25
563	Batch Gradient Descent with Code Demo \| Simple Explanation in Hindi	1:04:49	2021-05-22
564	Gradient Descent From Scratch \| End to End Gradient Descent \| Gradient Descent Animation	1:57:56	2021-05-21
565	Multiple Linear Regression \| Part 3 \| Code From Scratch	16:01	2021-05-17
566	Multiple Linear Regression \| Part 2 \| Mathematical Formulation From Scratch	48:11	2021-05-15
567	Multiple Linear Regression \| Geometric Intuition & Code	20:57	2021-05-14
568	Regression Metrics \| MSE, MAE & RMSE \| R2 Score & Adjusted R2 Score	43:56	2021-05-13
569	Simple Linear Regression \| Mathematical Formulation \| Coding from Scratch	53:31	2021-05-11
570	Simple Linear Regression \| Code + Intuition \| Simplest Explanation in Hindi	33:36	2021-05-10
571	Principle Component Analysis(PCA) \| Part 3 \| Code Example and Visualization	43:26	2021-05-08
572	Principle Component Analysis (PCA) \| Part 2 \| Problem Formulation and Step by Step Solution	56:17	2021-05-07
573	Principle Component Analysis (PCA) \| Part 1 \| Geometric Intuition	33:54	2021-05-06
574	Curse of Dimensionality	15:25	2021-05-05
575	Feature Construction \| Feature Splitting	12:22	2021-05-04
576	Outlier Detection using the Percentile Method \| Winsorization Technique	16:23	2021-05-03
577	Outlier Detection and Removal using the IQR Method \| Handing Outliers Part 3	14:05	2021-05-01
578	Outlier Detection and Removal using Z-score Method \| Handling Outliers Part 2	17:46	2021-04-30
579	What are Outliers \| Outliers in Machine Learning	17:07	2021-04-29
580	Multivariate Imputation by Chained Equations for Missing Value \| MICE Algorithm \| Iterative Imputer	18:31	2021-04-28

581	KNN Imputer \| Multivariate Imputation \| Handling Missing Data Part 5	24:27	2021-04-27
582	Missing Indicator \| Random Sample Imputation \| Handling Missing Data Part 4	37:05	2021-04-26
583	Handling Missing Categorical Data \| Simple Imputer \| Most Frequent Imputation \| Missing Category Imp	13:34	2021-04-24
584	Handling missing data \| Numerical Data \| Simple Imputer	31:21	2021-04-23
585	Handling Missing Data \| Part 1 \| Complete Case Analysis	24:54	2021-04-22
586	Handling Date and Time Variables \| Day 34 \| 100 Days of Machine Learning	14:18	2021-04-21
587	Handling Mixed Variables \| Feature Engineering	12:10	2021-04-20
588	Binning and Binarization \| Discretization \| Quantile Binning \| KMeans Binning	38:25	2021-04-19
589	Power Transformer \| Box - Cox Transform \| Yeo - Johnson Transform	21:28	2021-04-17
590	Function Transformer \| Log Transform \| Reciprocal Transform \| Square Root Transform	32:13	2021-04-16
591	Machine Learning Pipelines A-Z \| Day 29 \| 100 Days of Machine Learning	45:39	2021-04-15
592	Column Transformer in Machine Learning \| How to use ColumnTransformer in Sklearn	15:41	2021-04-14
593	One Hot Encoding \| Handling Categorical Data \| Day 27 \| 100 Days of Machine Learning	30:12	2021-04-13
594	Encoding Categorical Data \| Ordinal Encoding \| Label Encoding	19:53	2021-04-12
595	Feature Scaling - Normalization \| MinMaxScaling \| MaxAbsScaling \| RobustScaling	23:31	2021-04-10
596	Feature Scaling - Standardization \| Day 24 \| 100 Days of Machine Learning	32:38	2021-04-09
597	What is Feature Engineering \| Day 23 \| 100 Days of Machine Learning	24:52	2021-04-08
598	Pandas Profiling \| Day 22 \| 100 Days of Machine Learning	13:04	2021-04-07
599	EDA using Bivariate and Multivariate Analysis \| Day 21 \| 100 Days of Machine Learning	38:03	2021-04-06
600	EDA using Univariate Analysis \| Day 20 \| 100 Days of Machine Learning	30:31	2021-04-05

601	Understanding Your Data \| Day 19 \| 100 Days of Machine Learning	15:23	2021-04-03
602	Fetching data using Web Scraping \| Day 18 \| 100 Days of Machine Learning	37:49	2021-04-02
603	Fetching Data From an API \| Day 17 \| 100 Days of Machine Learning	22:50	2021-04-01
604	Working with JSON/SQL \| Day 16 \| 100 Days of Machine Learning	17:00	2021-03-31
605	Working with CSV files \| Day 15 \| 100 Days of Machine Learning	36:30	2021-03-30
606	How to Frame a Machine Learning Problem \| How to plan a Data Science Project Effectively	22:22	2021-03-29
607	End to End Toy Project \| Day 13 \| 100 Days of Machine Learning	30:43	2021-03-27
608	Installing Anaconda For Data Science \| Jupyter Notebook for Machine Learning \| Google Colab for ML	37:06	2021-03-26
609	What are Tensors \| Tensor In-depth Explanation \| Tensor in Machine Learning	41:29	2021-03-25
610	Data Engineer Vs Data Analyst Vs Data Scientist Vs ML Engineer \| Data Science Job Roles	26:23	2021-03-24
611	Machine Learning Development Life Cycle \| MLDLC in Data Science	25:13	2021-03-23
612	Regression Tree Hyperparameter Tuning and Code Example	15:04	2021-03-23
613	Application of Machine Learning \| Real Life Machine Learning Applications	29:02	2021-03-22
614	Image Processing using OpenCV \| Part 13 \| Working with Videos using OpenCV	11:39	2021-03-21
615	Image Processing using OpenCV \| Part 12 \| Building a Cropping Tool	10:00	2021-03-21
616	Image Processing using OpenCV \| Part 10 \| Working with OpenCV Events	10:06	2021-03-21
617	Image Processing using OpenCV \| Part 11 \| Working with OpenCV Events Part 2	4:53	2021-03-21
618	Image Processing using OpenCV \| Part 9 \| Drawing Shapes and Text on Images	8:49	2021-03-21
619	Challenges in Machine Learning \| Problems in Machine Learning	23:40	2021-03-20
620	Decision Tree Hyperparameters In-depth Intuition \| Decision Trees Part 8	17:16	2021-03-20

621	Awesome Decision Tree Visualization using dtreeviz library	18:36	2021-03-19
622	Instance-Based Vs Model-Based Learning \| Types of Machine Learning	16:44	2021-03-19
623	Online Machine Learning \| Online Learning \| Online Vs Offline Machine Learning	19:28	2021-03-18
624	Gini Impurity in depth Intuition \| Decision Trees \| Part 4	9:08	2021-03-18
625	Bagging Ensemble \| Part 3 \| Bagging Regressor	10:55	2021-03-17
626	Batch Machine Learning \| Offline Vs Online Learning \| Machine Learning Types	11:28	2021-03-17
627	Types of Machine Learning for Beginners \| Types of Machine learning in Hindi \| Types of ML in Depth	27:42	2021-03-16
628	Bagging Ensemble \| Part 2 \| Bagging Classifiers	22:32	2021-03-16
629	AI Vs ML Vs DL for Beginners in Hindi	16:02	2021-03-15
630	Image Processing using OpenCV \| Part 8 \| Saving an Image	1:05	2021-03-14
631	Image Processing using OpenCV \| Part 7 \| Cropping an Image	3:17	2021-03-14
632	Image Processing using OpenCV \| Part 6 \| Flipping an Image	2:41	2021-03-14
633	Image Processing using OpenCV \| Part 5 \| Image Resizing	3:27	2021-03-14
634	Image Processing using OpenCV \| Part 4 \| Playing with RGB Color Channels	3:45	2021-03-14
635	Image Processing using OpenCV \| Part 3 \| Converting RGB image to Grayscale	2:00	2021-03-14
636	Image Processing using OpenCV \| Part 2 \| Reading an Image	3:00	2021-03-14
637	Image Processing using OpenCV \| Part 1 \| Image Basics	8:02	2021-03-14
638	What is Machine Learning? \| 100 Days of Machine Learning	20:00	2021-03-13
639	Bagging \| Introduction \| Part 1	31:13	2021-03-12
640	Voting Ensemble \| Regression \| Part 3	10:57	2021-03-11

641	Voting Ensemble \| Classification \| Voting Classifier \| Hard Voting Vs Soft Voting \| Part 2	23:50	2021-03-10
642	Voting Ensemble \| Introduction and Core Idea \| Part 1	16:30	2021-03-09
643	Session on Generative Adversarial Networks \| GANs	1:58:27	2021-01-31
644	Thread Pool Executors \| Threading And Multi Processing in Python Part 2	13:51	2021-01-28
645	Threading \| Threading and Multi Processing in Python Part 1	19:12	2021-01-12
646	Bangalore House Price Prediction \| Regression Project \| End to End Machine Learning Projects	57:24	2021-01-03
647	Cross-validation in Machine Learning	15:20	2021-01-02
648	Car Price Predictor Project \| Machine Learning \| Linear Regression	1:21:12	2021-01-02
649	Largest Rectangle in Histogram	18:54	2020-11-18
650	Face Mask Detection using CNN \| VGG16 \| Keras Project	1:14:28	2020-11-16
651	Next Larger Element in an Array	8:43	2020-11-15
652	Face Mask Detector Project Demo\| Deep Learning	0:46	2020-11-15
653	Get minimum item from a stack in O(1) time	10:45	2020-11-14
654	Reverse a LinkedList using Stack	7:06	2020-11-13
655	Online Stock Span Problem in Java \| Stacks Problem #1	12:51	2020-11-11
656	News App from Scratch \| Part 1 - Course Introduction \| Advance Android Tutorials	11:34	2020-10-14
657	DOM Selectors \| Multiple Item Selector \| Javascript Fundamentals	11:53	2020-10-08
658	DOM Selectors Part 1 \| Single Element Selector \| Javascript Fundamentals	15:55	2020-10-08
659	Document Object Model \| DOM \| Javascript Fundamentals	12:50	2020-10-08
660	The Window Object \| Javascript Fundamentals	21:50	2020-10-08

661	Type Conversion \| Javascript Fundamentals	9:09	2020-10-08
662	Operators \| Javascript Fundamentals	7:34	2020-10-08
663	Generals Loops \| Javascript Fundamentals	11:23	2020-10-08
664	Functions \| Javascript	11:22	2020-10-08
665	If-else statements \| Javascript Fundamentals	8:17	2020-10-08
666	Switch Statements \| Javascript Fundamentals	4:16	2020-10-08
667	General Loops \| Javascript	9:51	2020-10-08
668	Block and Function Level Scope \| Javascript Fundamentals	7:35	2020-10-08
669	Date Objects \| Javascript Fundamentals	3:51	2020-10-08
670	Object Literals \| Javascript Fundamentals	13:34	2020-10-08
671	Arrays \| Javascript Fundamentals	11:16	2020-10-08
672	Template Literals \| Javascript	6:08	2020-10-08
673	Strings \| Javascript	10:27	2020-10-08
674	The Math Object \| Javascript Fundamentals	3:03	2020-10-08
675	Variables in Javascript	9:58	2020-10-08
676	Data Types in Javascript	7:27	2020-10-08
677	Console in Javascript	7:53	2020-10-08
678	Comments in Javascript	1:11	2020-10-08
679	Introduction to Javascript \| Using external javascript	6:10	2020-10-08
680	Math Based Brain Game using Vanilla Javascript in 1 hour	51:06	2020-09-10

681	Javascript based Math Brain Game Demo	0:38	2020-09-10
682	Neural Network Notation	7:43	2020-09-06
683	Prediction in Artificial Neural Network	7:08	2020-09-06
684	Guest Lecture on "Front-end Development in MNCs"	48:16	2020-09-06
685	Keras Classification Project - MNIST Digit Recognition Dataset	20:37	2020-09-06
686	Bank Churn Classification - Keras Deep Learning	17:20	2020-09-06
687	Graduate Admission Prediction - Keras Regression \| Deep Learning \| ANN	36:21	2020-09-06
688	Session on Firebase \| Building a Todo List Application	1:35:33	2020-08-31
689	Life as a DevOps Engineer By Shomik Bose (British Telecom)	1:25:20	2020-08-27
690	Build an IRCTC clone using Bootstrap and jQuery	1:41:34	2020-08-19
691	Internet Protocol \| Fundamentals of Web Development \| Part 7	8:58	2020-08-07
692	The problem of Outliers \| Logistic Regression	6:16	2020-08-07
693	Sigmoid Function and Squashing \| Logistic Regression	8:22	2020-08-07
694	Lists and Tables	8:28	2020-08-07
695	Style and Colors	4:41	2020-08-07
696	Div and Span \| Block level and Inline elements	4:46	2020-08-07
697	Iframe tag in HTML	4:28	2020-08-07
698	Meta Tags in HTML	5:14	2020-08-07
699	HTML Forms and Attributes	12:37	2020-08-07
700	HTML Form Elements	10:36	2020-08-07

701	Types of Input Tag	14:15	2020-08-07
702	Input Tag Attributes	9:59	2020-08-07
703	CSS Box Model	8:18	2020-08-07
704	CSS Border Property	6:03	2020-08-07
705	Float and Alignment	14:23	2020-08-07
706	CSS Layouts	12:14	2020-08-07
707	CSS Overflow	2:37	2020-08-07
708	CSS Texts and Fonts	15:29	2020-08-07
709	CSS Link States and Buttons	10:14	2020-08-07
710	CSS Display Property	12:57	2020-08-07
711	CSS Positioning	10:37	2020-08-07
712	Perceptron from scratch using Python	20:09	2020-08-07
713	Perceptron Algorithm in Sklearn	6:08	2020-08-07
714	Perceptron Trick	18:55	2020-08-07
715	Perceptron Geometric Intuition	6:46	2020-08-07
716	Perceptron Introduction	4:41	2020-08-07
717	CSS Media Queries	18:07	2020-08-07
718	CSS Grids	23:10	2020-08-07
719	Backpropogation Explained	18:38	2020-08-07
720	Disadvantages of Cosine Similarity	15:55	2020-08-07

721	Gradient Descent from Scratch in Python	34:23	2020-08-07
722	CSS Flexbox	24:47	2020-08-07
723	CSS Combinators and Pseudo Elements	7:06	2020-08-07
724	CSS Transformations	6:24	2020-08-07
725	CSS Transitions	4:48	2020-08-07
726	CSS Animation Part 2	5:54	2020-08-07
727	CSS Animation Part 1	9:25	2020-08-07
728	Kernel Trick in SVM \| Geometric Intuition	6:18	2020-08-07
729	Kernel Trick in SVM \| Code Example	14:04	2020-08-07
730	Styling Forms using CSS	8:00	2020-08-07
731	Styling Tables	5:15	2020-08-07
732	CSS Units	5:49	2020-08-07
733	CSS Navigation Bars and Side Navigation Bars	15:37	2020-08-07
734	Dropdowns in CSS	15:55	2020-08-07
735	Mathematics of Support Vector Machine \| Soft Margin SVM	14:38	2020-08-07
736	Support Vector Machine \| Code Sample	6:29	2020-08-07
737	Mathematical Prerequisites for Deep Learning	1:11:28	2020-07-19
738	How is the Internet so fast? \| Fundamentals of Web Development \| Part 12	3:58	2020-07-13
739	Transmission Control Protocol (TCP) \| Fundamentals of Web Development \| Part 11	5:45	2020-07-13
740	IPV4 Vs IPV6 \| Fundamentals of Web Development \| Part 8	4:49	2020-07-13

741	Domain Name Server \| Fundamentals of Web Development \| Part 10	9:18	2020-07-13
742	Public IP Vs Private IP \| Fundamentals of Web Development \| Part 9	5:31	2020-07-13
743	How does the Internet work? \| Fundamentals of Web Development \| Part 6	6:27	2020-07-13
744	Peer to Peer Networks \| Fundamentals of Web Development \| Part 5	10:18	2020-07-13
745	Client Server Architecture \| Fundamentals of Web Development \| Part 4	5:52	2020-07-13
746	CSS Background Image Property	11:37	2020-07-10
747	CSS Selectors	11:51	2020-07-10
748	Comments in CSS	1:09	2020-07-10
749	Implementing CSS	12:19	2020-07-10
750	Introduction to CSS	7:55	2020-07-10

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