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Machine Learning tutorial as a question-answer practical exercises. Based on the ML Johns Hopkins University course at Coursera

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#(1) Installing Jupyter and R kernel to create notebooks.
https://www.datacamp.com/community/tutorials/tutorial-jupyter-notebook##UseJupyter
#(2) Running Jupyter notebook by mean of Ipython command.
https://discuss.analyticsvidhya.com/t/how-to-run-r-on-jupyter-ipython-notebooks/5512 

#NOTE:Once jupyter installed by mean of conda environment, just run:
ipython notebook
#(3) it has installed all the required libraries to plot the graphs.
#(4) Finally push this .ipnby file to a github repositorie and get the link to visualize the notebook in jupyter nbviewer. 

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Machine Learning tutorial as a question-answer practical exercises. Based on the ML Johns Hopkins University course at Coursera

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