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Machine Learning links (Module 0 (Python (https://en.wikipedia…
Machine Learning links
Module 0
jupyter notebook
https://github.com/dataworkshop/webinar-jupyter
https://www.youtube.com/watch?time_continue=909&v=e7B0cSLZ5U0
https://github.com/takluyver/jupyter-intro-xfel-jan17/blob/master/Index.ipynb
https://github.com/jupyter/jupyter/wiki/A-gallery-of-interesting-Jupyter-Notebooks
Python
https://en.wikipedia.org/wiki/Camel_case
https://www.python.org/dev/peps/pep-0008/
https://pl.wikipedia.org/wiki/Lukier_sk%C5%82adniowy
https://learnxinyminutes.com/docs/python/
https://www.slideshare.net/MattHarrison4/learn-90
https://www.youtube.com/watch?v=tKTZoB2Vjuk&list=PLC8825D0450647509
https://engineering.ucsb.edu/~shell/che210d/python.pdf
Pandas
https://pandas.pydata.org/
https://pandas.pydata.org/pandas-docs/stable/10min.html
https://www.dataquest.io/blog/pandas-python-tutorial/
https://www.youtube.com/watch?v=e60ItwlZTKM
https://jakevdp.github.io/PythonDataScienceHandbook/03.00-introduction-to-pandas.html
https://www.youtube.com/watch?v=zRahH6LkY40
NumPy
http://www.numpy.org/
https://docs.scipy.org/doc/numpy-1.13.0/reference/arrays.indexing.html
https://docs.scipy.org/doc/numpy/reference/ufuncs.html
http://cs231n.github.io/python-numpy-tutorial/
https://jakevdp.github.io/PythonDataScienceHandbook/02.00-introduction-to-numpy.html
https://towardsdatascience.com/a-hitchhiker-guide-to-python-numpy-arrays-9358de570121
https://towardsdatascience.com/lets-talk-about-numpy-for-datascience-beginners-b8088722309f
Kaggle
https://www.kaggle.com/c/bike-sharing-demand/data