sklearn-classification
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Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
Checked for depreicated packages. Changed pandas.tools.plotting.
This notebook use libraries from python 2.7 version, but doesn't provide 2.7 kernel.  Installing kernel isn't possible due to root password: 
Excellent notebook. can you please add one for regression, clustering, anomaly and pca? Thanks
could you add ensemble of all ml algorithms you trained as an example? I want to learn how to do it from you, thanks!
could you add some example of tensorflow optimize to improve performance? thank you very much.
 it doesn't use the best params random searched in in[68] of Logistic Regression, rather than create a new instance.
1. I uploaded your book to my Colab 2. import io, os, sys, types, time, datetime, math, random, requests, subprocess, StringIO, tempfile 3. ModuleNotFoundError 