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Part I: Notebooks & Code "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
Home Page: https://akramz.github.io/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow/
License: Apache License 2.0
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hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow's Introduction
Hands-on ML with Scikit-Learn, Keras & TF by Aurelien Geron
This Books assumes you know close to nothing about machine learning.
We will be using production-ready Python frameworks
Scikit-Learn
Keras
TensorFlow
This book favors a hands-on approach through a series of working examples and just a little bit of theory.
Prerequesites
Some Python programming experience
Familiarity with NumPy, Pandas, and Matplotlib
A reasonable understanding of college-level math (calculus, probability, Linear Algebra, and statistics)
The first part of the book is mostly based on Scikit-Learn, while the 2nd part is using Keras/TensorFlow.
1. The Fundamentals of Machine Learning
hands-on-machine-learning-with-scikit-learn-keras-and-tensorflow's People
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