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Title: GitHub - gitvick/Awesome-Data-Science-with-Python: Great resources for learning data science with Python including tutorials, code snippets, blog pieces, and lectures, as well as libraries.

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X Title: GitHub - gitvick/Awesome-Data-Science-with-Python: Great resources for learning data science with Python including tutorials, code snippets, blog pieces, and lectures, as well as libraries.

Description: Great resources for learning data science with Python including tutorials, code snippets, blog pieces, and lectures, as well as libraries. - gitvick/Awesome-Data-Science-with-Python

Open Graph Description: Great resources for learning data science with Python including tutorials, code snippets, blog pieces, and lectures, as well as libraries. - gitvick/Awesome-Data-Science-with-Python

X Description: Great resources for learning data science with Python including tutorials, code snippets, blog pieces, and lectures, as well as libraries. - gitvick/Awesome-Data-Science-with-Python

Opengraph URL: https://github.com/gitvick/Awesome-Data-Science-with-Python

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Fix Jupyter Notebookhttps://jakevdp.github.io/blog/2017/12/05/installing-python-packages-from-jupyter/
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Greenland - Statistical tests, P values, confidence intervals, and power: a guide to misinterpretationshttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4877414/
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Chatruc - The Central Limit Theorem and its misusehttps://lambdaclass.com/data_etudes/central_limit_theorem_misuse/
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Cook - Estimating the chances of something that hasn’t happened yethttps://www.johndcook.com/blog/2010/03/30/statistical-rule-of-three/
Wainer - The Most Dangerous Equationhttp://www-stat.wharton.upenn.edu/~hwainer/Readings/Most%20Dangerous%20eqn.pdf
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2http://blog.datadive.net/selecting-good-features-part-ii-linear-models-and-regularization/
3http://blog.datadive.net/selecting-good-features-part-iii-random-forests/
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boruta_pyhttps://github.com/scikit-learn-contrib/boruta_py
explainationhttps://stats.stackexchange.com/questions/264360/boruta-all-relevant-feature-selection-vs-random-forest-variables-of-importanc/264467
examplehttps://www.kaggle.com/tilii7/boruta-feature-elimination
linselecthttps://github.com/efavdb/linselect
mlxtendhttps://rasbt.github.io/mlxtend/user_guide/feature_selection/ExhaustiveFeatureSelector/
BoostARootahttps://github.com/chasedehan/BoostARoota
INVASEhttps://github.com/jsyoon0823/INVASE
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