Oleg Zabluda's blog
Thursday, September 06, 2018
 
Python Data Science Handbook (2016) Jake VanderPlas
Python Data Science Handbook (2016) Jake VanderPlas
"""
5. Machine Learning

Introducing Scikit-Learn
In Depth: Naive Bayes Classification
In Depth: Linear Regression
In-Depth: Support Vector Machines
In-Depth: Decision Trees and Random Forests
In Depth: Principal Component Analysis
In-Depth: Manifold Learning
In Depth: k-Means Clustering
In Depth: Gaussian Mixture Models
In-Depth: Kernel Density Estimation
Application: A Face Detection Pipeline
Further Machine Learning Resources
"""
https://jakevdp.github.io/PythonDataScienceHandbook/index.html
https://jakevdp.github.io/PythonDataScienceHandbook/index.html

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