chapter 1: getting started with machine learning and python€¦ · machado de assis obra completa...
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Chapter 1: Getting Started with MachineLearning and Python
Chapter 2: Exploring the 20 NewsgroupsDataset with Text Analysis Techniques
Chapter 3: Mining the 20 NewsgroupsDataset with Clustering and Topic ModelingAlgorithms
Chapter 4: Detecting Spam Email with NaiveBayes
Chapter 5: Classifying Newsgroup Topicswith 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 TerabyteClick Logs
Chapter 9: Stock Price Prediction withRegression Algorithms
Chapter 10: Machine Learning BestPractices
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