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books

技术资料分享

decision_tree_prune

Decision Tree with PEP,MEP,EBP,CVP,REP,CCP,ECP pruning,all are implemented with Python(sklearn-decision-tree-prune included,All finished).

deep-learning-interview-book

深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

dragonnet

因果推断-dragonnet

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

girls-in-ai

免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战

gold-miner

🥇掘金翻译计划，可能是世界最大最好的英译中技术社区，最懂读者和译者的翻译平台：

lhy_machine_learning

李宏毅2021春季机器学习课程课件及作业

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

python-100-days

Python - 100天从新手到大师

scikit-uplift

:exclamation: uplift modeling in scikit-learn style in python :snake:

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

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