Python Machine Learning Blueprints > PACKT 원서리스트

1: The Python Machine Learning Ecosystem
The data science/machine learning workflow
Python libraries and functions
Setting up your machine learning environment
Summary

2: Build an App to Find Underpriced Apartments
Sourcing the apartment listing data
Inspecting and preparing the data
Modeling the data
Summary

3: Build an App to Find Cheap Airfares
Sourcing airfare pricing data
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
The IPO market
Feature engineering
Binary classification
Feature importance
Summary

5: Create a Custom Newsfeed
Creating a supervised training set with the Pocket app
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
What does research tell us about virality?
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
Types of market analysis
What does research tell us about the stock market?
How to develop a trading strategy
Summary

8: Build an Image Similarity Engine
Machine learning on images
Working with images
Finding similar images
Understanding deep learning
Building an image similarity engine
Summary

9: Build a Chatbot
The Turing test
The history of chatbots
The design of chatbots
Building a chatbot
Summary
10: Build a Recommendation Engine
Collaborative filtering
Content-based filtering
Hybrid systems
Building a recommendation engine
Summary