Data-science-Python-tutorials

All tutorials below are prepared as Jupyter Notebooks

These are:

00_Jupyter - tutorial of basic and advanced usage of Jupyter Notebooks
01_cookbook - very broad tutorial of scientific Python usage in specific applications from statystics and machine learning to signal processing. Also good ways and practices of optimization
Bokeh - tutorial of Bokeh visualization
Cheatsheets - many cheatsheets about R and Python
Example Data Science Notebook - very detailed and well prepared example of notebook about classification on Iris dataset
Python Data Science Handbook - great tutorial of most important machine learning Python libraries - NumPy, Pandas, matplotlib and Scikit-Learn. Also IPython chapter
SKLearn Tutorial - look at basic Scikit-Learn algorithms
Titanic - well prepared and detailed notebook about classification on Titanic dataset

Name	Name	Last commit message	Last commit date
Latest commit samorr Create README.md Aug 2, 2018 038dd99 · Aug 2, 2018 History 2 Commits
00_Jupyter	00_Jupyter	all files included	Aug 2, 2018
01_cookbook	01_cookbook	all files included	Aug 2, 2018
Bokeh	Bokeh	all files included	Aug 2, 2018
Cheatsheets	Cheatsheets	all files included	Aug 2, 2018
Example Data Science Notebook	Example Data Science Notebook	all files included	Aug 2, 2018
Python Data Science Handbook	Python Data Science Handbook	all files included	Aug 2, 2018
SKLearn Tutorial	SKLearn Tutorial	all files included	Aug 2, 2018
Titanic	Titanic	all files included	Aug 2, 2018
README.md	README.md	Create README.md	Aug 2, 2018
RoadToDataScientist1.png	RoadToDataScientist1.png	all files included	Aug 2, 2018
infographics-final.jpg	infographics-final.jpg	all files included	Aug 2, 2018

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