1
Complete Road Map To Be Expert In Python- Follow My Way
29:11
2020-09-18
2
Complete Roadmap To Follow To Prepare Machine Learning With All Videos And Materials
18:56
2020-10-05
3
Tutorial 1- Anaconda Installation and Python Basics
19:05
2019-09-23
4
Why Python is the Best Programming Language For Machine Learning?
5:15
2019-08-30
5
Tutorial 2 - Python List and Boolean Variables
21:49
2019-09-24
6
Tutorial 3- Python Sets, Dictionaries and Tuples
16:05
2019-09-24
7
Tutorial 4 - Numpy and Inbuilt Functions Tutorial
26:42
2019-09-25
8
Tutorial 5- Pandas, Data Frame and Data Series Part-1
16:49
2019-09-26
9
Tutorial 6- Pandas,Reading CSV files With Various Parameters- Part 2
29:32
2019-09-29
10
Tutorial 7- Pandas-Reading JSON,Reading HTML, Read PICKLE, Read EXCEL Files- Part 3
19:31
2019-09-30
11
Tutorial 8- Matplotlib (Simple Visualization Library)
25:55
2019-10-02
12
Tutorial 9- Seaborn Tutorial- Distplot, Joinplot, Pairplot Part 1
21:43
2019-10-02
13
Tutorial 10- Seaborn- Countplot(), Violinplot(), Boxplot()- Part2
10:54
2019-10-02
14
How To Become Expertise in Exploratory Data Analysis
10:05
2019-09-25
15
Tutorial 11-Exploratory Data Analysis(EDA) of Titanic dataset
31:45
2019-01-17
16
Tutorial 12- Python Functions, Positional and Keywords Arguments
13:39
2019-10-20
17
Tutorial 15- Map Functions using Python
4:46
2019-10-22
18
Tutorial 13- Python Lambda Functions
6:03
2019-10-22
19
Tutorial 16- Filter Functions In Python
3:58
2019-10-23
20
Tutorial 17- Python List Comprehension
8:07
2019-11-03
21
Tutorial 18- Python Advanced String Formatting
10:25
2019-11-03
22
Tutorial 19- Python Iterables vs Iterators
12:02
2019-11-04
23
Tutorial 20- How To Import All Important Python Data Science Libraries Using Pyforest
5:01
2019-11-04
24
Tutorial 21- Python OOPS Tutorial- Classes, Variables, Methods and Objects
14:28
2019-11-06
25
Advanced Python- Exception Handling Detailed Explanation In Python
20:29
2021-01-05
26
Advanced Python Series- Custom Exception Handling In Python
8:58
2021-01-05
27
Advance Python Series- Public Private And Protected Access Modifiers
14:56
2021-01-06
28
Advance Python Series- Inheritance In Python
11:39
2021-01-07
29
Tutorial 22-Univariate, Bivariate and Multivariate Analysis- Part1 (EDA)-Data Science
13:11
2019-11-27
30
Tutorial 23-Univariate, Bivariate and Multivariate Analysis- Part2 (EDA)-Data Science
15:53
2019-11-28
31
Tutorial 24- Histogram in EDA- Data Science
4:42
2019-11-29
32
Tutorial 24-Z Score Statistics Data Science
11:59
2019-12-03
33
Tutorial 25- Probability Density function and CDF- EDA-Data Science
7:52
2019-11-30
34
Tutorial 26- Linear Regression Indepth Maths Intuition- Data Science
24:15
2019-12-08
35
Tutorial 27- Ridge and Lasso Regression Indepth Intuition- Data Science
20:17
2019-12-10
36
Tutorial 28- Ridge and Lasso Regression using Python and Sklearn
9:51
2019-12-11
37
Multiple Linear Regression using python and sklearn
19:51
2019-01-31
38
Tutorial 28-MultiCollinearity In Linear Regression- Part 2
16:00
2020-03-29
39
Machine Learning-Bias And Variance In Depth Intuition| Overfitting Underfitting
16:53
2020-05-04
40
Tutorial 29-R square and Adjusted R square Clearly Explained| Machine Learning
17:16
2019-06-12
41
Tutorial 31- Hypothesis Test, Type 1 Error, Type 2 Error
11:45
2020-01-06
42
What Is P Value In Statistics In Simple Language?
11:18
2021-04-05
43
Tutorial 32- All About P Value,T test,Chi Square Test, Anova Test and When to Use What?
12:01
2020-01-10
44
Tutorial 33- P Value,T test, Correlation Implementation with Python- Hypothesis Testing
20:02
2020-01-23
45
Tutorial 33- Chi Square Test Implementation with Python- Hypothesis Testing- Part 2
14:09
2020-03-08
46
Tutorial 34- Performance Metrics For Classification Problem In Machine Learning- Part1
24:12
2020-01-27
47
Tutorial 35- Logistic Regression Indepth Intuition- Part 1| Data Science
12:40
2020-02-25
48
Tutorial 36- Logistic Regression Indepth Intuition- Part 2| Data Science
28:17
2020-02-26
49
Tutorial 36- Logistic Regression Mutliclass Classification(OneVsRest)- Part 3| Data Science
6:39
2020-03-21
50
Tutorial 37: Entropy In Decision Tree Intuition
8:58
2019-08-11
51
Tutorial 38- Decision Tree Information Gain
12:40
2020-03-03
52
Tutorial 39- Gini Impurity Intuition In Depth In Decision Tree
11:13
2020-03-05
53
Tutorial 40- Decision Tree Split For Numerical Feature
6:11
2020-03-06
54
Advance House Price Prediction- Exploratory Data Analysis- Part 1
23:29
2020-01-31
55
Advance House Price Prediction- Exploratory Data Analysis- Part 2
19:48
2020-02-01
56
Advance House Price Prediction-Feature Engineering Part 1
14:12
2020-02-03
57
Advance House Price Prediction-Feature Engineering Part 2
13:54
2020-02-06
58
Advance House Price Prediction-Feature Selection
8:03
2020-02-15
59
Tutorial 41-Performance Metrics(ROC,AUC Curve) For Classification Problem In Machine Learning Part 2
9:49
2020-03-06
60
Performance Metrics On MultiClass Classification Problems
6:02
2020-03-23
61
K Nearest Neighbor classification with Intuition and practical solution
20:06
2019-02-12
62
K Nearest Neighbour Easily Explained with Implementation
18:02
2019-06-18
63
Tutorial 42 - Ensemble: What is Bagging (Bootstrap Aggregation)?
6:27
2019-08-23
64
Tutorial 43-Random Forest Classifier and Regressor
10:18
2019-08-24
65
Tutorial 45-Handling imbalanced Dataset using python- Part 1
13:01
2019-06-27
66
Tutorial 46-Handling imbalanced Dataset using python- Part 2
10:59
2019-06-27
67
Hyperparameter Optimization for Xgboost
14:55
2019-06-26
68
What is AdaBoost (BOOSTING TECHNIQUES)
14:06
2019-08-31
69
Visibility Climate Prediction- You Can Add This In Your Resume
17:23
2020-03-11
70
Euclidean Distance and Manhattan Distance
8:39
2019-08-19
71
K Means Clustering Intuition
14:36
2019-02-13
72
Hierarchical Clustering intuition
6:12
2019-02-14
73
DBSCAN Clustering Easily Explained with Implementation
18:32
2019-06-05
74
Silhouette (clustering)- Validating Clustering Models- Unsupervised Machine Learning
20:07
2020-08-25
75
Curse of Dimensionality Easily explained| Machine Learning
7:37
2019-06-10
76
Dimensional Reduction| Principal Component Analysis
19:06
2019-02-02
77
Principle Component Analysis (PCA) using sklearn and python
12:30
2018-07-02
78
What is Cross Validation and its types?
18:15
2019-08-08
79
Tutorial 42-How To Find Optimal Threshold For Binary Classification - Data Science
15:10
2020-04-11
80
Tutorial 47- Bayes' Theorem| Conditional Probability- Machine Learning
11:02
2020-04-19
81
Tutorial 48- Naive Bayes' Classifier Indepth Intuition- Machine Learning
15:55
2020-04-20
82
Tutorial 49- How To Apply Naive Bayes' Classifier On Text Data (NLP)- Machine Learning
13:10
2020-04-21
83
Support Vector Machine (SVM) Basic Intuition- Part 1| Machine Learning
12:50
2020-04-28
84
Maths Intuition Behind Support Vector Machine Part 2 | Machine Learning Data Science
23:27
2020-05-02
85
SVM Kernels In-depth Intuition- Polynomial Kernels Part 3 | Machine Learning Data Science
20:41
2021-03-10
86
SVM Kernal- Polynomial And RBF Implementation Using Sklearn- Machine Learning
14:40
2021-03-10
87
Gradient Boosting In Depth Intuition- Part 1 Machine Learning
11:20
2020-05-11
88
Gradient Boosting Complete Maths Indepth Intuiton Explained| Machine Learning- Part2
17:47
2020-05-14
89
Xgboost Classification Indepth Maths Intuition- Machine Learning Algorithms🔥🔥🔥🔥
23:59
2020-10-12
90
Xgboost Regression In-Depth Intuition Explained- Machine Learning Algorithms 🔥🔥🔥🔥
19:30
2020-10-19
91
Data Science In Medical-Live Tracking Of CO--VID Cases In India using Python
15:39
2020-09-18
92
Perform EDA In Seconds With Visualization Using SweetViz Library
17:20
2020-06-06
93
4 End To End Projects Till Deployment For Beginners In Data Science| All You Have To Do Is Learn
10:49
2020-06-10
94
Deploy Machine Learning Models Using StreamLit Library- Data Science
12:56
2020-06-13
95
Perform Exploratory Data Analysis In Minutes- Data Science| Machine Learning
18:34
2020-06-03
96
Pandas Visual Analysis- Perform Exploratory Data Analysis In A Single Line Of Code🔥🔥🔥🔥
13:12
2020-09-29
97
How To Read And Process Huge Datasets in Seconds Using Vaex Library| Data Science| Machine Learning
19:31
2020-06-04
98
D-Tale The Best Library To Perform Exploratory Data Analysis Using Single Line Of Code🔥🔥🔥🔥
12:54
2020-09-30
99
Interview Prep Day3-How To Prepare Support Vector Machines Important Questions In Interviews🔥🔥
13:45
2020-09-23
100
Google Datasets Search Engine- Search All Datasets From One Place For Data Science,Machine Learning
11:51
2020-10-22
101
How To Run Flask In Google Colab
7:39
2020-11-15
102
Time Series Forecasting Using Facebook FbProphet
16:57
2020-11-23
103
Performance Metrics Interview Questions- Data Science
4:34
2020-03-21
104
How To Perform Post Pruning In Decision Tree? Prevent Overfitting- Data Science
16:24
2020-06-14
105
How To Train Machine Learning Model Using CPU Multi Cores
14:41
2020-11-24
106
Step By Step Process To Learn Machine Learning Algorithm Efficiently
14:08
2020-04-24
107
Data Science Is Just Not About Model Building
7:59
2020-09-03
108
How To Interpret The ML Model? Is Your Model Black Box? Lime Library
11:27
2020-11-30
109
6 Healthcare End To End Machine Learning Projects- Credits Devansh and Bedanta
7:48
2020-11-30
110
Overfitting, Underfitting And Data Leakage Explanation With Simple Example
14:12
2020-12-07
111
What Is API? Application Programming Interface And Why It Is Important-Data Science
8:25
2020-12-08
112
500+ Machine Learning And Deep Learning Projects All At One Place
7:49
2021-01-03
113
Google Colab Pro Vs Colab Free- Benefits Of Using Colab Pro- How To Access From India
13:08
2021-01-04
114
Advance Python Series-Magic Methods In Classes
10:07
2021-01-09
115
Advanced Python Series- Assert Statement In Python
6:05
2021-01-13
116
How To Speed Up Pandas By 4X Times- Modin Pandas Library
12:08
2021-01-18
117
TextBlob Library In Python For Natural Language Processing
8:53
2021-01-22
118
3000+ Research Datasets For Machine Learning Researchers By Papers With Code
6:38
2021-02-04
119
Introduction To MLflow-An Open Source Platform for the Machine Learning Lifecycle
12:13
2021-03-01
120
Amazing Data Science End To End Project From Starters In ML and Deep Learning- Agriculture Domain
8:16
2021-03-03
121
Lux - Python Library for Intelligent Visual Discovery
10:11
2021-03-23
122
Texthero-Text Preprocessing, Representation And Visualization From Zero to Hero.
15:58
2021-03-25
123
Colab Pro Now Available In India, Brazil, France, Thailand,Japan,UK- BOON FOR Data Science Aspirants
5:30
2021-03-26
124
Rainfall Prediction- Converting A Kaggle Project to End To End Machine Learning Project
6:50
2021-03-27
125
PyWebIO- Creating WebAPP Using Python Without Using HTML And JS
17:18
2021-04-03
126
Creating BMI Calculator Web APP Using Python And PyWebIO
12:11
2021-04-04
127
Deployment Of ML Models Using PyWebIO And Flask
12:28
2021-04-05
128
Shapash- Python Library To Make Machine Learning Interpretable
16:03
2021-04-06
129
Difference Between fit(), transform(), fit_transform() and predict() methods in Scikit-Learn
26:03
2021-04-12
130
EvalML AutoML Library To Automate Feature Engineering, Feature Selection,Model Creation And Tuning
23:28
2021-04-14
131
Lazy Predict Python- Understanding Which Models Works Well Without Any Tuning
9:05
2021-04-14
132
How To Automate NLP Tasks Using EvalML Library
15:28
2021-04-15
133
Gradio Library-Interfaces for your Machine Learning Models
8:48
2021-04-15
134
Comparing Transfer Learning Models Using Gradio
8:24
2021-04-16
135
Introduction To Machine Learning And Deep Learning For Starters
50:28
2021-04-18
136
Numba Library- Let's Make Python Faster
6:45
2021-04-19
137
Deployment Of ML Models Using PyWebIO And Flask In Heroku
7:33
2021-04-19
138
All Automated EDA Libraries All At One Place
14:39
2021-04-20
139
Discussing All The Types Of Feature Transformation In Machine Learning
22:24
2021-04-21
140
Automating Web Scrapping Using AutoScraper Library
15:33
2021-04-22
141
Automating WebScraping Amazon Ecommerce Website Using AutoScrapper
14:14
2021-04-23
142
AutoScraper and Flask: Create an API From Amazon Website in Less Than 10 Minutes
14:13
2021-04-24
143
Autoviz-Automatically Visualize Any Dataset With Single Line Of Code
6:10
2021-04-25
144
AutoScraper- Scrap Images From Amazon Ecommerce- End To End Web Scraping Application
6:55
2021-04-28
145
All Type Of Cross Validation With Python All In 1 Video
15:23
2021-04-28
146
DataPrep Library- Perform Faster EDA Within No Time
8:42
2021-04-30
147
Time Series Forecasting Made Easy Using Dart Library - Perform Multivariate Forecasting In No Time
11:37
2021-09-25
148
FLAML - Fast and Lightweight AutoML Library By Microsoft
7:32
2021-10-01
149
Tutorial on Automated Machine Learning using MLBox
11:03
2021-12-05
150
Definition Of Bias And Variance In Machine Learning- Interview Question
8:18
2022-02-08
151
Elasticnet Regression Machine Learning Algorithm Explained In Depth
11:04
2022-05-21
152
Out Of Bag Evaluation(OOB) And OOB Score Or Error In Random Forest
7:11
2022-07-27
153
PCA Indepth Geometric And Mathematical InDepth Intuition ML Algorithms
1:28:31
2023-01-18
