Complete Bootcamp 2021 : Feature selection using Python
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + srt | Duration: 40 lectures (3h 41m) | Size: 1.26 GB A Course by Kaggle grandmaster on Feature Selection : Machine Learning, Scikit Learn, Pandas, mlextend, clean your data What you'll learn: Feature Selection using Python machine learning packages Pandas, scikit-learn(sklearn), mlxtend Learn the concept behind feature selection, detail discussion on feature selection method (filter, wrapper and embedded) Filter methods selector like variance, F-Score, Mutual Information etc.. Wrapper Method : Exhaustive, Forward and Backward Selection Embedded Method : Lasso Decision Tree, Random Forest, ExtraTree etc Implemented with more than 15 Projects Ready to use code in machine learning projects Feature selection technique people used in Competitions.
Requirements Familiarity with Python programming Working knowledge of Jupyter Notebook Working Knowledge of Pandas and Numpy Working Knowledge of Machine learning Model Creation using sklearn Understanding of Statistical methods like chisquare test
Description Feature selection is one of most important activity in machine learning/Artificial Intelligence pipeline. We select all relevant features for machine learning algorithm and discard less relevant or not relevant features. Feature selection is also known as variable selection.This course will provide learner, detailed knowledge of feature selection. It is one of most detailed online course on feature selection.
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FILE LIST
Filename
Size
~Get Your Files Here !/1. Introduction/1. Introduction.mp4
9.5 MB
~Get Your Files Here !/1. Introduction/1. Introduction.srt
2.8 KB
~Get Your Files Here !/2. Feature Selection Introduction/1. Feature Selection Introduction.mp4
8.7 MB
~Get Your Files Here !/2. Feature Selection Introduction/1. Feature Selection Introduction.srt
2.1 KB
~Get Your Files Here !/3. Filter Method/1. Filter Method Introduction.mp4
6.9 MB
~Get Your Files Here !/3. Filter Method/1. Filter Method Introduction.srt
2.3 KB
~Get Your Files Here !/3. Filter Method/10. Mutual information to select features in a datasets with continuous target.mp4
41.3 MB
~Get Your Files Here !/3. Filter Method/10. Mutual information to select features in a datasets with continuous target.srt
11.3 KB
~Get Your Files Here !/3. Filter Method/11. Project 5 To select features from a dataset using Mutual Information.mp4
68.5 MB
~Get Your Files Here !/3. Filter Method/11. Project 5 To select features from a dataset using Mutual Information.srt
8.5 KB
~Get Your Files Here !/3. Filter Method/12. Mutual Information to select feature from a dataset where target variable discre.mp4
16.8 MB
~Get Your Files Here !/3. Filter Method/12. Mutual Information to select feature from a dataset where target variable discre.srt
3.1 KB
~Get Your Files Here !/3. Filter Method/13. Project 6 Mutual information implementation on a dataset with discrete target.mp4
79.3 MB
~Get Your Files Here !/3. Filter Method/13. Project 6 Mutual information implementation on a dataset with discrete target.srt
9.9 KB
~Get Your Files Here !/3. Filter Method/14. Chi2 test method to select feature.mp4
26.9 MB
~Get Your Files Here !/3. Filter Method/14. Chi2 test method to select feature.srt
8.4 KB
~Get Your Files Here !/3. Filter Method/15. Project 7 Implementation of chi2.mp4
43.6 MB
~Get Your Files Here !/3. Filter Method/15. Project 7 Implementation of chi2.srt
5 KB
~Get Your Files Here !/3. Filter Method/2. Variance For Feature Selection.mp4
22.6 MB
~Get Your Files Here !/3. Filter Method/2. Variance For Feature Selection.srt
5.8 KB
~Get Your Files Here !/3. Filter Method/3. Project 1 Variance for Feature selection on data for classification.mp4
182.8 MB
~Get Your Files Here !/3. Filter Method/3. Project 1 Variance for Feature selection on data for classification.srt
19.1 KB
~Get Your Files Here !/3. Filter Method/4. Project 2 Variance for Feature selection on data for regression.mp4
117.6 MB
~Get Your Files Here !/3. Filter Method/4. Project 2 Variance for Feature selection on data for regression.srt
11.7 KB
~Get Your Files Here !/3. Filter Method/5. Project 2 Variance for Feature selection on data for regression part 2.mp4
25.6 MB
~Get Your Files Here !/3. Filter Method/5. Project 2 Variance for Feature selection on data for regression part 2.srt
3.7 KB
~Get Your Files Here !/3. Filter Method/6. Feature selection using F-Score.mp4
40.5 MB
~Get Your Files Here !/3. Filter Method/6. Feature selection using F-Score.srt
12.2 KB
~Get Your Files Here !/3. Filter Method/7. Project 3 Feature selection using F Score.mp4
68 MB
~Get Your Files Here !/3. Filter Method/7. Project 3 Feature selection using F Score.srt
7.3 KB
~Get Your Files Here !/3. Filter Method/8. Feature Selection using Anova-F Score.mp4
22.1 MB
~Get Your Files Here !/3. Filter Method/8. Feature Selection using Anova-F Score.srt
6.2 KB
~Get Your Files Here !/3. Filter Method/9. Project 4 Feature selection using anova F-Score.mp4
77.4 MB
~Get Your Files Here !/3. Filter Method/9. Project 4 Feature selection using anova F-Score.srt
7.5 KB
~Get Your Files Here !/4. Wrapper methods/1. Introduction to wrapper methods.mp4
1.5 MB
~Get Your Files Here !/4. Wrapper methods/1. Introduction to wrapper methods.srt
628 B
~Get Your Files Here !/4. Wrapper methods/10. Project 12 Backward feature elimination implementation.mp4
25.4 MB
~Get Your Files Here !/4. Wrapper methods/10. Project 12 Backward feature elimination implementation.srt
2.7 KB
~Get Your Files Here !/4. Wrapper methods/11. Backward feature selection mlxtend.mp4
8.4 MB
~Get Your Files Here !/4. Wrapper methods/11. Backward feature selection mlxtend.srt
1.8 KB
~Get Your Files Here !/4. Wrapper methods/12. Project 11 Backward feature selection implementation.mp4
59.2 MB
~Get Your Files Here !/4. Wrapper methods/12. Project 11 Backward feature selection implementation.srt
6 KB
~Get Your Files Here !/4. Wrapper methods/13. Exhaustive feature selection.mp4
15.8 MB
~Get Your Files Here !/4. Wrapper methods/13. Exhaustive feature selection.srt
3.7 KB
~Get Your Files Here !/4. Wrapper methods/14. Project 12 Implementation of Exhaustive feature selection.mp4
57.3 MB
~Get Your Files Here !/4. Wrapper methods/14. Project 12 Implementation of Exhaustive feature selection.srt
5.6 KB
~Get Your Files Here !/4. Wrapper methods/2. Forward Feature Selection.mp4
35.5 MB
~Get Your Files Here !/4. Wrapper methods/2. Forward Feature Selection.srt
7.1 KB
~Get Your Files Here !/4. Wrapper methods/3. Project 8 Implementation of forward feature selection using sklearn.mp4
58.4 MB
~Get Your Files Here !/4. Wrapper methods/3. Project 8 Implementation of forward feature selection using sklearn.srt
5.2 KB
~Get Your Files Here !/4. Wrapper methods/4. Project 9 Implementation of forward feature selection using sklearn.mp4
29.3 MB
~Get Your Files Here !/4. Wrapper methods/4. Project 9 Implementation of forward feature selection using sklearn.srt
3.2 KB
~Get Your Files Here !/4. Wrapper methods/5. Forward Feature Selection in mlxtend.mp4
8.5 MB
~Get Your Files Here !/4. Wrapper methods/5. Forward Feature Selection in mlxtend.srt
1.8 KB
~Get Your Files Here !/4. Wrapper methods/6. Project 10 Implementation of forward feature selection mlxtend.mp4
51.6 MB
~Get Your Files Here !/4. Wrapper methods/6. Project 10 Implementation of forward feature selection mlxtend.srt
5 KB
~Get Your Files Here !/4. Wrapper methods/7. Backward Feature Elimination.mp4
3 MB
~Get Your Files Here !/4. Wrapper methods/7. Backward Feature Elimination.srt
855 B
~Get Your Files Here !/4. Wrapper methods/8. Backward Feature Elimination sklearn.mp4
4.3 MB
~Get Your Files Here !/4. Wrapper methods/8. Backward Feature Elimination sklearn.srt
633 B
~Get Your Files Here !/4. Wrapper methods/9. Project 11 Backward feature elimination implementation sklearn.mp4
45.7 MB
~Get Your Files Here !/4. Wrapper methods/9. Project 11 Backward feature elimination implementation sklearn.srt
5.4 KB
~Get Your Files Here !/5. Embedded Methods for Feature Selection/1. Introduction to Embedded Methods.mp4
3.4 MB
~Get Your Files Here !/5. Embedded Methods for Feature Selection/1. Introduction to Embedded Methods.srt
1.1 KB
~Get Your Files Here !/5. Embedded Methods for Feature Selection/2. Tree based methods.mp4
6.7 MB
~Get Your Files Here !/5. Embedded Methods for Feature Selection/2. Tree based methods.srt
2.6 KB
~Get Your Files Here !/5. Embedded Methods for Feature Selection/3. Project 13 Implementation of Embedded Method using Decision Tree Classifier.mp4
40.4 MB
~Get Your Files Here !/5. Embedded Methods for Feature Selection/3. Project 13 Implementation of Embedded Method using Decision Tree Classifier.srt
4.7 KB
~Get Your Files Here !/5. Embedded Methods for Feature Selection/4. Project 14 Implementation of Embedded Method using RandomForest Regressor.mp4
33.6 MB
~Get Your Files Here !/5. Embedded Methods for Feature Selection/4. Project 14 Implementation of Embedded Method using RandomForest Regressor.srt
3.6 KB
~Get Your Files Here !/5. Embedded Methods for Feature Selection/5. Project 15 Implementation of Embedded Method using Extremely randomized trees.mp4
34.6 MB
~Get Your Files Here !/5. Embedded Methods for Feature Selection/5. Project 15 Implementation of Embedded Method using Extremely randomized trees.srt
3.5 KB
~Get Your Files Here !/5. Embedded Methods for Feature Selection/6. Introduction to Regularization Methods for feature selection.mp4
11.8 MB
~Get Your Files Here !/5. Embedded Methods for Feature Selection/6. Introduction to Regularization Methods for feature selection.srt
4.1 KB
~Get Your Files Here !/5. Embedded Methods for Feature Selection/7. Project 16 Implementation of Lasso Regularization.mp4
26 MB
~Get Your Files Here !/5. Embedded Methods for Feature Selection/7. Project 16 Implementation of Lasso Regularization.srt
3.4 KB
~Get Your Files Here !/5. Embedded Methods for Feature Selection/8. Project 17 Implementation of Logistic Regression with Lasso Regularization.mp4
52.9 MB
~Get Your Files Here !/5. Embedded Methods for Feature Selection/8. Project 17 Implementation of Logistic Regression with Lasso Regularization.srt
5.7 KB
~Get Your Files Here !/5. Embedded Methods for Feature Selection/9. Benefits of Embedded Methods.mp4
2.9 MB
~Get Your Files Here !/5. Embedded Methods for Feature Selection/9. Benefits of Embedded Methods.srt