Hands on Machine Learning - Chapter 6 - Decision Trees

An overview of Chapter 6 of the book Hands-on Machine Learning with Scikit-Learn Keras & Tensorflow
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[@suyashjaiswal2782]

Shashank comes with the clutch !
Thanks for the video!

[@mdht]

Thank you, I think your videos are awesome!
I am good with python and I wanna be a data scientist/ML engineer
but I feel that I am not that good at thinking in OOP style and I made only 3 small projects

[@wilmot1294]

Sklearn has a validation curve method. It creats a curve for the model with various hyper-param values

[@jrjames5148]

Nice one !

[@subham_347]

Nice explanation. Kindly upload for upcoming chapters too.
Thank you. :)

[@fatimak6440]

commenting! great content!

[@weightsandbias]

ValueError: Input contains NaN, infinity or a value too large for dtype('float32')
I've got this error for decision tree model using scikit learn (.fit() line of code ). But there are no nan or inf in my data. How should I solve this? What's wrong?

[@weightsandbias]

I've used
df.isin( [np.inf, -np.inf).any(axis=0) )
and
df.isfinite( df.all() )
and also
df.apply(lambda x: sum( x.isnull() ) ) to check the data.
Can someone help?

[@veerasekhar6395]

Any other best book for complete data science

[@ShashankData]

I think that this is a great starting point and after that it’s all just application. If anyone else has any suggestions please leave them below