Machine Learning Playlist
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What you'll learn
This course includes
- 12.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 38 lessons • 12.5 hours of video
Machine Learning Playlist
38 lessons
• 12.5 hours
Machine Learning Playlist
38 lessons
• 12.5 hours
- Introduction To Machine Learning Algorithms In Hindi 19:00
- Simple Linear Regression Algorithm Indepth Maths Intuition With Notes In Hindi 52:20
- Linear Regression Practical Implementation In Hindi 23:30
- Mean Sqaured Error, Mean Absolute Error And RMSE In Hindi- Linear Regression | Krish Naik Hindi 11:40
- Ridge And Lasso Regression Indepth Maths Intuition In hindi 17:47
- Ridge And Lasso Practical Implementation In Hindi 15:07
- ElasticNet Regression Machine Learning Algorithm Explained In Hindi 18:35
- Logistic Regression Indepth Maths Intuition In Hindi 29:32
- Logistic Regression Practical Implementation In Python|Krish Naik|Hindi 19:47
- Hindi-Naive Baye's Machine Learning Algorithm Indepth Inution- Part 1 14:25
- Hindi-Naive Baye's Machine Learning Algorithm Indepth Inution- Part 2 24:36
- Hindi-K Nearest Neighbour Indepth Intuition- Classification And Regression 16:42
- Hindi- Overfitting, Underfitting,Bias And Variance Explained In Hindi| Machine Learning 12:18
- Performance Metrics, Accuracy,Precision,Recall And F-Beta Score Explained In Hindi|Machine Learning 23:35
- Support Vector Machine Classifier Indepth Intution In Hindi| Krish Naik 25:24
- Support Vector Regression Indepth Maths Intuition In Hindi 11:02
- How SVM Kernels Work? |Krish Naik Hindi 10:24
- Part 1-Decision Tree Classifier Indepth Intuition In Hindi| Krish Naik 34:17
- Part 2-Post Prunning And Pre Prunning In Decision Tree Classifier In Hindi| Krish Naik 09:47
- Part 3- Decision Tree And Post Prunning Practical Implementation In Hindi | Krish Naik 15:46
- Part 4-Hindi- Decision Tree And Pre Prunning Practical Implementation|Krish Naik 14:28
- Part 5-Hindi- Decision Tree Regression Indepth Intuition With Variance Reduction|Krish Naik 23:40
- Training Data Vs Test Data Vs Validation Data| Krish Naik 14:41
- Hindi-Cross Validation Using Python In Machine Learning|Krish Naik 12:49
- Hindi-Types Of Cross Validation In Machine Learning|Krish Naik 18:55
- Hindi- Ensemble Techniques-Bagging Vs Boosting|Krish Naik 11:55
- Random Forest Regression And Classification Indepth Intuition In Hindi 16:15
- Out Of Bag(OOB) Evaluation And Error In Random Forest Indepth Intuition In Hindi 06:51
- Automated EDA Using Pandas Profiling- @krishnaikhindi 06:58
- Automated EDA Using Autoviz Library With 3 Lines Of Code|Krish Naik Hindi 09:03
- In-depth EDA Using SweetViz Library In 2 Lines Of Code- Krish Naik Hindi 06:54
- Complete Automated EDA Using Dtale Library Ussing 3 Lines Of Code|Krish Naik Hindi 10:28
- R sqaured And Adjusted R squared Machine Learning In Hindi|Krish Naik Hindi 12:20
- What Is Boosting Technique In Machine Learning- Krish Naik Hindi 12:56
- Adaboost ML Algorithm Indepth Intuition- Krish Naik Hindi 35:06
- Gradient Boosting Algorithms Indepth Intuition- Krish Naik Hindi 18:07
- Complete Unsupervised Machine Learning Tutorials In Hindi- K Means,DBSCAN, Hierarchical Clustering 01:33:49
- Complete Anomaly Detection Machine Learning Algorithms- Isolation Forest,DBSCAN,Local Factor Outlier 32:02
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