Playlist Duration

Playlist · Krish Naik

Complete Machine Learning playlist

by Krish Naik · 153 videos

Listed in Best free machine learning courses on YouTube, ranked by total hours

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1d 12h 54m

at 1× speed · exactly 1 day, 12 hours, 53 minutes, 34 seconds at 1×

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153 videos in blocks of 10 · each column is a block's total, to scale

3h 23m
2h 17m
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2h 29m
2h 30m
2h 5m
2h 14m
2h 23m
2h 53m
2h 27m
1h 56m
1h 34m
2h 26m
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1h 44m
1h 47m

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Videos (153)

1d 12h 54m in total · tick what you've watched

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Videos to
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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
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