English | 2022 | ISBN: 1484279204 | 437 Pages | PDF EPUB (True) | 19 MB

Here is the perfect comprehensive guide for readers with basic to intermediate level knowledge of machine learning and deep learning.

It introduces tools such as NumPy for numerical processing, Pandas for panel data analysis, Matplotlib for visualization, Scikit-learn for machine learning, and Pytorch for deep learning with Python. It also serves as a long-term reference manual for the practitioners who will find solutions to commonly occurring scenarios.



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