Machine Learning Blink 10.2 (Feature selection: wrapper and filter methods)

#dimensionalityReduction #machineLearning #featureSelection

The video PDF can be downloaded at https://drive.google.com/file/d/1peXEorN7X7DGYXltPUKKNBWE8Vu6HoKg/view?usp=sharing

For more, please check the following:
1. Review paper on feature selection (FS) methods: https://arxiv.org/pdf/1601.07996.pdf
with Python Github code implementing different FS methods:
https://github.com/jundongl/scikit-feature

2. Feature selection library in Matlab: https://in.mathworks.com/matlabcentral/fileexchange/56937-feature-selection-library

3. Python code for feature selection:
https://scikit-learn.org/stable/modules/feature_selection.html#

4. Recently published paper by Kuncheva et al. 2018 [Pattern Recognition journal] "on feature selection protocols for very low-sample-size data":
http://pages.bangor.ac.uk/~mas00a/papers/lkjrpr18.pdf

Видео Machine Learning Blink 10.2 (Feature selection: wrapper and filter methods) канала BASIRA Lab