Python Scikit Learn Tutorial For Beginners In Hindi | Scikit Learn From Scratch | Scikit Learn

Hey Learner's,
Today, In this Particular Course we will learn feature selection based on variance and along with that we folks understanding all the Theoretical concepts of scikit learn and after it all done we finally head onto the discussion of practical implementation of those concepts with Python and have a hands-on glance as well.

Topics Covered:

0:29 - Introduction
01:11 - Scikit Learn Based On Variance
14:14 - Feature Selection Based Variance
22:54 - Feature Selection Recursive Elimination
30:54 - Feature Selection Based On Model Performance
35:51 - Quiz
37:20 - Practical
1:10:30 - Introduction To Machine Learning
1:21:39 - Converting Categorical Data To Numbers
1:30:38 - Data Scaling & Normalization
1:34:34 - Single Output Regression Problems
1:36:21 - Linear Regression
1:47:03 - KNN Regression
1:51:40 - Random Forest Regression
2:05:43 - Multi Output Regression Problems
2:14:12 - Random Forest Multi Output Regression
2:18:32 - Direct Multi Output Regression With Wrapper Algorithms
2:24:39 - Chained Multi Output Regression With Wrapper Algorithms
2:29:54 - Quiz
2:31:27 - Practical
3:50:41 - Preparing Data For Classification Problems
3:55:15 - Dividing Data Into Features And Labels
4:09:56 - Solving Primary Classification Problems
4:32:26 - Random Forest Classifier
4:35:31 - K-Fold Cross Validation
4:46:41 - One Vs Rest For Multiclass Classification
4:51:17 - One Vs One For Multiclass Classification
5:02:17 - Quiz
5:04:08 - Practical

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