[FreeTutorials.Eu] [UDEMY] Feature Selection for Machine Learning - [FTU]
| 文件类型 | 收录时间 | 最后活跃 | 资源热度 | 文件大小 | 文件数量 |
|---|---|---|---|---|---|
| 视频 | 2018-11-28 09:26 | 2024-5-26 06:10 | 121 | 389.37 MB | 30 |
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文件列表
- 01 Introduction/001 Introduction.mp44.62MB
- 01 Introduction/002 Course Curriculum Overview.mp44.05MB
- 01 Introduction/003 Course requirements.mp46.42MB
- 02 Feature Selection/011 What is feature selection.mp47.82MB
- 02 Feature Selection/012 Feature selection methods Overview.mp415.55MB
- 02 Feature Selection/013 Filter Methods.mp44.87MB
- 02 Feature Selection/014 Wrapper methods.mp47.3MB
- 02 Feature Selection/015 Embedded Methods.mp49.53MB
- 03 Filter Methods Basics/016 Constant quasi constant and duplicated features Intro.mp48.87MB
- 03 Filter Methods Basics/017 Constant features.mp414.5MB
- 03 Filter Methods Basics/018 Quasi-constant features.mp415.38MB
- 03 Filter Methods Basics/019 Duplicated features.mp420.7MB
- 04 Filter methods Correlation/021 Correlation Intro.mp413.96MB
- 04 Filter methods Correlation/022 Correlation.mp424.38MB
- 05 Filter methods Statistical measures/024 Statistical methods Intro.mp416.57MB
- 05 Filter methods Statistical measures/025 Mutual information.mp414.03MB
- 05 Filter methods Statistical measures/026 Chi-square for categorical variables Fisher score.mp47.27MB
- 05 Filter methods Statistical measures/027 Univariate approaches.mp416.43MB
- 05 Filter methods Statistical measures/028 Univariate ROC-AUC.mp410.87MB
- 06 Wrapper methods/031 Wrapper methods Intro.mp415.55MB
- 06 Wrapper methods/032 Step forward feature selection.mp429.59MB
- 06 Wrapper methods/033 Step backward feature selection.mp432.07MB
- 06 Wrapper methods/034 Exhaustive search.mp418.68MB
- 07 Embedded methods Lasso regularisation/035 Regularisation Intro.mp47.95MB
- 07 Embedded methods Lasso regularisation/036 Lasso.mp413.93MB
- 08 Embedded methods Linear models/038 Regression Coefficients Intro.mp45.48MB
- 08 Embedded methods Linear models/039 Selection by Logistic Regression Coefficients.mp420.16MB
- 08 Embedded methods Linear models/040 Coefficients change with penalty.mp48.49MB
- 08 Embedded methods Linear models/041 Selection by Linear Regression Coefficients.mp45.08MB
- 09 Embedded methods Trees/043 Selecting Features by Tree importance Intro.mp49.28MB
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