I am starting my journey for machine learning. But the sheer amount of material is confusing.
For now I have decided to limit my scope.
- Core Python
- Bokeh – http://bokeh.pydata.org/en/latest/
- SCIKIT learn – http://scikit-learn.org/stable/
I ‘ll keep on tagging the material in the specific tags as and When I go through them.
I have chosen Bokeh for its beauty. Anytime I need to use Matplotlib or any other package I ‘ll still try to use Bokeh only.
I found Anaconda to be a good starting point rather than getting confused with separate packages and then an IDE.
I am in love with Jupyter notebook and can see why the community is too. Don’t worry Anaconda comes pre-packaged with Jupyter .