Add more examples

[ianozsvald]

Add new Notebooks with some interpretation, using the built-in sklearn datasets

• diabetes
• breast cancer
• wine
• text and numeric label e.g. [1, 2, 3] ['one', 'two', 'three'] many times - for a redundant column that should be identified
• y=x^2 non-linear example which RF should do well on and Pearson should do poorly on

Hopefully also show corr results (especially if we get #1 added)

Maybe also add Anscombe Quartet https://seaborn.pydata.org/examples/anscombes_quartet.html and use it in the README