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--- other:python:jyp_steps [2021/09/22 13:42]
jypeter Added xarray
+++ other:python:jyp_steps [2021/09/22 14:23]
jypeter Added statsmodels, scikit-learn and scikit-image
@@ Line 346: / Line 346: @@
 This document will teach you even more things about python, numpy and matplotlib, debugging and optimizing scripts, and about using python for statistics, image processing, machine learning, washing dishes (this is just to check if you have read this page), etc...
   * Example: the [[http://www.scipy-lectures.org/packages/statistics/index.html|Statistics in Python]] tutorial that combines [[other:python:jyp_steps#pandas|Pandas]], [[http://statsmodels.sourceforge.net/|Statsmodels]] and [[http://seaborn.pydata.org/|Seaborn]]
+===== statsmodels =====
+[[https://www.statsmodels.org/|statsmodels ]] is a Python module that provides classes and functions for the estimation of many different statistical models, as well as for conducting statistical tests, and statistical data exploration.
+===== scikit-learn =====
+[[http://scikit-learn.org/|scikit-learn]] is an open source machine learning library that supports supervised and unsupervised learning. It also provides various tools for model fitting, data preprocessing, model selection and evaluation, and many other utilities.
+===== scikit-image =====
+[[https://scikit-image.org/|scikit-image]] is a collection of algorithms for image processing in Python
 ===== Quick Reference and cheat sheets =====

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