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种子名称：
[FreeTutorials.Eu] [UDEMY] Feature Selection for Machine Learning - [FTU]
文件类型：
视频
文件数目：
30个文件
文件大小：
389.37 MB
收录时间：
2018-11-28 09:26
已经下载：
3次
资源热度：
276
最近下载：
2025-10-28 08:11
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种子包含的文件
[FreeTutorials.Eu] [UDEMY] Feature Selection for Machine Learning - [FTU].torrent
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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