FreeTutorials Eu UDEMY Feature Selection for Machine Learning FTU

FreeTutorials Eu UDEMY Feature Selection for Machine Learning FTU

Name	[FreeTutorials.Eu] [UDEMY] Feature Selection for Machine Learning - [FTU]	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	416.4 MB
Total Files	92
Last Seen	2025-07-14 23:44
Hash	722B3338485097FF62F7925C2F6484415B2837C9

/01 Introduction/
001 Introduction-en.srt	5.6 KB
001 Introduction.mp4	4.8 MB
002 Course Curriculum Overview-en.srt	5.0 KB
002 Course Curriculum Overview.mp4	4.3 MB
003 Course requirements-en.srt	4.5 KB
003 Course requirements.mp4	6.7 MB
004 Additional Requirements Nice to have.html	1.5 KB
005 How to approach this course.html	2.4 KB
006 Guide to setting up your computer.html	4.2 KB
007 Installing XGBoost in windows.html	3.0 KB
008 Feature-selection-presentations.zip	6.3 MB
008 Presentations covered in this course.html	1.0 KB
009 Feature-selection-notebooks.zip	937.1 KB
009 Jupyter notebooks covered in this course.html	1.0 KB
010 FAQ Data Science and Python programming.html	1.9 KB
/02 Feature Selection/
011 What is feature selection-en.srt	7.6 KB
011 What is feature selection.mp4	8.2 MB
012 Feature selection methods Overview-en.srt	7.5 KB
012 Feature selection methods Overview.mp4	16.3 MB
013 Filter Methods-en.srt	4.0 KB
013 Filter Methods.mp4	5.1 MB
014 Wrapper methods-en.srt	6.5 KB
014 Wrapper methods.mp4	7.7 MB
015 Embedded Methods-en.srt	5.1 KB
015 Embedded Methods.mp4	10.0 MB
/03 Filter Methods Basics/
016 Constant quasi constant and duplicated features Intro-en.srt	5.1 KB
016 Constant quasi constant and duplicated features Intro.mp4	9.3 MB
017 Constant features-en.srt	13.1 KB
017 Constant features.mp4	15.2 MB
018 Quasi-constant features-en.srt	12.8 KB
018 Quasi-constant features.mp4	16.1 MB
019 Duplicated features-en.srt	8.8 KB
019 Duplicated features.mp4	21.7 MB
020 Basic methods review.html	4.7 KB
/04 Filter methods Correlation/
021 Correlation Intro-en.srt	6.8 KB
021 Correlation Intro.mp4	14.6 MB
022 Correlation-en.srt	19.1 KB
022 Correlation.mp4	25.6 MB
023 Basic methods plus Correlation pipeline.html	11.4 KB
/05 Filter methods Statistical measures/
024 Statistical methods Intro-en.srt	15.8 KB
024 Statistical methods Intro.mp4	17.4 MB
025 Mutual information-en.srt	10.2 KB
025 Mutual information.mp4	14.7 MB
026 Chi-square for categorical variables Fisher score-en.srt	5.7 KB
026 Chi-square for categorical variables Fisher score.mp4	7.6 MB
027 Univariate approaches-en.srt	12.5 KB
027 Univariate approaches.mp4	17.2 MB
028 Univariate ROC-AUC-en.srt	9.0 KB
028 Univariate ROC-AUC.mp4	11.4 MB
029 Basic methods Correlation univariate ROC-AUC pipeline.html	14.4 KB
030 BONUS select features by mean encoding KDD 2009.html	19.7 KB
/06 Wrapper methods/
031 Wrapper methods Intro-en.srt	8.6 KB
031 Wrapper methods Intro.mp4	16.3 MB
032 Step forward feature selection-en.srt	14.8 KB
032 Step forward feature selection.mp4	31.0 MB
033 Step backward feature selection-en.srt	14.8 KB
033 Step backward feature selection.mp4	33.6 MB
034 Exhaustive search-en.srt	10.5 KB
034 Exhaustive search.mp4	19.6 MB
/07 Embedded methods Lasso regularisation/
035 Least-angle-and-1-penalized-regression-A-review-.txt	0.1 KB
035 Machine-Learning-Explained-Regularization.txt	0.1 KB
035 Regularisation Intro-en.srt	6.9 KB
035 Regularisation Intro.mp4	8.3 MB
036 Lasso-en.srt	10.6 KB
036 Lasso.mp4	14.6 MB
037 Basic filter methods LASSO pipeline.html	16.5 KB
/08 Embedded methods Linear models/
038 Regression Coefficients Intro-en.srt	5.3 KB
038 Regression Coefficients Intro.mp4	5.7 MB
039 Selection by Logistic Regression Coefficients-en.srt	9.8 KB
039 Selection by Logistic Regression Coefficients.mp4	21.1 MB
040 Coefficients change with penalty-en.srt	6.9 KB
040 Coefficients change with penalty.mp4	8.9 MB
041 Selection by Linear Regression Coefficients-en.srt	4.0 KB
041 Selection by Linear Regression Coefficients.mp4	5.3 MB
042 Feature selection with linear models review.html	15.9 KB
/09 Embedded methods Trees/
043 Selecting Features by Tree importance Intro-en.srt	8.4 KB
043 Selecting Features by Tree importance Intro.mp4	9.7 MB
044 Select by model importance random forests embedded.html	15.5 KB
045 Select by model importance random forests recursively.html	11.4 KB
046 Select by model importance gradient boosted machines.html	9.9 KB
047 Feature selection with decision trees review.html	16.1 KB
/10 Reading Resources/
048 Additional reading resources.html	2.6 KB
/11 Hybrid feature selection methods/
049 BONUS Shuffling features.html	20.5 KB
050 BONUS Hybrid method Recursive feature elimination.html	50.0 KB
051 BONUS Hybrid method Recursive feature addition.html	52.3 KB
/12 Final section Next steps/
052 Bonus Lecture Discounts on my other courses.html	1.4 KB
/
Discuss.FreeTutorials.Us.html	169.7 KB
FreeCoursesOnline.Me.html	110.9 KB
FreeTutorials.Eu.html	104.7 KB
Presented By SaM.txt	0.0 KB
[TGx]Downloaded from torrentgalaxy.org.txt	0.5 KB
Torrent Downloaded From GloDls.to.txt	0.1 KB
Total files 92