Machine Learning with Python

Table of Contents

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   Book Overview
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   Chapter 1 Introduction
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   Chapter 2 Getting Started with Python
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   Chapter 3 Three Fundamental Python Packages
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   Chapter 4 Supervised Learning in Practice: the First Application Using Scikit-Learn
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   Chapter 5 k-Nearest Neighbors
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   Chapter 6 Linear Models
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   Chapter 7 Decision Trees
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   Chapter 8 Ensemble Learning
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    Chapter 9 Model Evaluation and Selection
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    Chapter 10 Feature Selection
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    Chapter 11 Assembling Various Learning Steps
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    Chapter 12 Clustering
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    Chapter 13 Deep Learning with Keras-TensorFlow
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    Chapter 14 Convolutional Neural Networks
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    Chapter 15 Recurrent Neural Networks