《机器学习那些事》 A Few Useful Things to Know about Machine Learning https://homes.cs.washington.edu/~pedrod/papers/cacm12.pdf
《统计学习方法》李航 Python实现代码https://github.com/fengdu78/lihang-code
《迁移学习简明手册》：https://github.com/jindongwang/transferlearning-tutorial
《神经网络与深度学习》https://nndl.github.io/
《面向机器学习的特征工程》https://github.com/apachecn/fe4ml-zh
Explanatory Model Analysishttps://pbiecek.github.io/ema/
《人工智能知识树》https://github.com/apachecn/ai-roadmap
ds-cheatsheets 速查手册https://github.com/FavioVazquez/ds-cheatsheets

15 TYPES OF REGRESSION IN DATA SCIENCEhttps://www.listendata.com/2018/03/regression-analysis.html
Are categorical variables getting lost in your random forests?https://roamanalytics.com/2016/10/28/are-categorical-variables-getting-lost-in-your-random-forests/
Selecting good featureshttp://blog.datadive.net/selecting-good-features-part-iii-random-forests/
Github半监督学习https://github.com/topics/semi-supervised-learning
Github特征工程https://github.com/topics/feature-engineering
A Data Science Framework: To Achieve 99% Accuracyhttps://www.kaggle.com/ldfreeman3/a-data-science-framework-to-achieve-99-accuracy#How-a-Data-Scientist-Beat-the-Odds
Machine Learning Mastery 博客文章翻译https://github.com/apachecn/ml-mastery-zh

实例The Super Duper NLP Repohttps://notebooks.quantumstat.com/
实例Deep Learning Modelshttps://github.com/rasbt/deeplearning-models
我们为你精选了一份Jupyter/IPython笔记本集合https://www.jiqizhixin.com/articles/2019-04-23-3
Learn ML with clean codehttps://github.com/madewithml/lessons
Progressive Growing of GANshttps://github.com/tkarras/progressive_growing_of_gans
Papers with codehttps://github.com/zziz/pwc
Good-Papershttps://github.com/hoangcuong2011/Good-Papers
XGBoost with Labelhttps://medium.com/@songxia.sophia/two-machine-learning-algorithms-to-predict-xgboost-neural-network-with-entity-embedding-caac68717dea
python-is-coolhttps://github.com/chiphuyen/python-is-cool

最小二乘法、最大似然法

sklearn:http://scikit-learn.org/stable/modules/classes.html#module-sklearn.linear_model

Lasso （Least Absolute Shrinkage and Selection Operator）

Stepwise Regression 逐步回归

Bayesian、Ecological和Robust回归

https://github.com/IBM/xgboost-smote-detect-fraud/blob/master/notebook/Fraud_Detection.ipynbXGB+SMOTE
https://github.com/andosa/treeinterpreter Article Tree Interpreter

https://github.com/ajbrock/BigGAN-PyTorch BigGAN Pytorch