Nice introduction.
I would appreciate if you recommend boobks to follow the subject in depth
I would recommend the “Elements of Statistical Learning” from Hastie et al. You can find a PDF version here.
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The book " Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow" is great !
Here are the GitHub repository linked to the book: GitHub - ageron/handson-ml2: A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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Hi apaix77,
imho i don´t think this is a legal platform, plz delete your post.
I modify the post by linking to the GitHub repository of Aurelien Geron that provides materials associated to his book.
NB: This is a good book indeed 
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