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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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