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Practical Machine Learning with Python

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Cover of 'Practical Machine Learning with Python'

Table of Contents

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    Book Overview
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    Chapter 1 Machine Learning Basics
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    Chapter 2 The Python Machine Learning Ecosystem
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    Chapter 3 Processing, Wrangling, and Visualizing Data
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    Chapter 4 Feature Engineering and Selection
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    Chapter 5 Building, Tuning, and Deploying Models
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    Chapter 6 Analyzing Bike Sharing Trends
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    Chapter 7 Analyzing Movie Reviews Sentiment
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    Chapter 8 Customer Segmentation and Effective Cross Selling
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    Chapter 9 Analyzing Wine Types and Quality
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    Chapter 10 Analyzing Music Trends and Recommendations
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    Chapter 11 Forecasting Stock and Commodity Prices
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    Chapter 12 Deep Learning for Computer Vision
Attention for Chapter 4: Feature Engineering and Selection
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Citations

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