此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

RFE on housing dataset

Features selector based on the self selected-algorithm, loss function and validation method

High performance implementation of Extreme Learning Machines (fast randomized neural networks).

Leave One Feature Out Importance

Explore Importance of Features in Random Forests

Implementation of unbiased measurement of feature importance in Random Forests

Unwrapping decision trees and random forests to make them less of a black box

Code to compute permutation and drop-column importances in Python scikit-learn models

python partial dependence plot toolbox