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Requirement Python for Machine Learning

1. Python Machine Learning By Example Second Edition

Chapter Title
Chapter 2 Exploring the 20 Newsgroups Dataset with Text Analysis Techniques
Chapter 3 Mining the 20 Newsgroups Dataset with Clustering and Topic Modeling Algorithms
Chapter 4 Detecting Spam Email with Naive Bayes
Chapter 5 Classifying Newsgroup Topics with Support Vector Machines
Chapter 6 Predicting Online Ad Click-Through with Tree-Based Algorithms
Chapter 7 Predicting Online Ad Click-Through with Logistic Regression
Chapter 8 Scaling Up Prediction to Terabyte Click Logs 234 Learning the essentials of Apache Spark
Chapter 9 Stock Price Prediction with Regression Algorithms 262 Brief overview of the stock market and stock prices 263 What is regression?

2. Practical Machine Learning with Python

Chapter Title
Chapter 4 Feature Engineering and Selection
Chapter 5 Building, Tuning, and Deploying Models
Chapter 6 Analyzing Bike Sharing Trends
Chapter 7 Analyzing Movie Reviews Sentiment
Chapter 8 Customer Segmentation and Effective Cross Selling
Chapter 9 Analyzing Wine Types and Quality
Chapter 10 Analyzing Music Trends and Recommendations
Chapter 11 Forecasting Stock and Commodity Prices
Chapter 12 Deep Learning for Computer Vision