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Index
Cover Table of Contents Python Machine Learning Blueprints Python Machine Learning Blueprints Credits About the Author About the Reviewer www.PacktPub.com Preface What you need for this book Who this book is for Conventions Reader feedback Customer support Downloading the example code Errata Piracy Questions 1. The Python Machine Learning Ecosystem Python libraries and functions Setting up your machine learning environment Summary 2. Build an App to Find Underpriced Apartments Inspecting and preparing the data Modeling the data Summary 3. Build an App to Find Cheap Airfares Retrieving the fare data with advanced web scraping techniques Parsing the DOM to extract pricing data Sending real-time alerts using IFTTT Putting it all together Summary 4. Forecast the IPO Market using Logistic Regression Feature engineering Binary classification Feature importance Summary 5. Create a Custom Newsfeed Using the embed.ly API to download story bodies Natural language processing basics Support vector machines IFTTT integration with feeds, Google Sheets, and e-mail Setting up your daily personal newsletter Summary 6. Predict whether Your Content Will Go Viral Sourcing shared counts and content Exploring the features of shareability Building a predictive content scoring model Summary 7. Forecast the Stock Market with Machine Learning What does research tell us about the stock market? How to develop a trading strategy Summary 8. Build an Image Similarity Engine Working with images Finding similar images Understanding deep learning Building an image similarity engine Summary 9. Build a Chatbot The history of chatbots The design of chatbots Building a chatbot Summary 10. Build a Recommendation Engine Content-based filtering Hybrid systems Building a recommendation engine Summary
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