Akramz/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
This project provides practical, coded examples and notes that accompany the first part of the 'Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow' book. It takes raw datasets and walks you through building intelligent systems using established machine learning frameworks. This resource is for aspiring machine learning practitioners, data scientists, and analysts who want to learn how to apply machine learning concepts in Python.
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Use this if you are learning machine learning and want to follow along with practical, code-based examples to solidify your understanding of core concepts like classification, model training, and dimensionality reduction.
Not ideal if you are looking for a plug-and-play tool for immediate application of machine learning, or if you prefer a purely theoretical deep dive without coding examples.
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