Python Machine Learning Blueprints: Intuitive data projects you can relate to .
Key Features
Put machine learning principles into practice to solve real-world problems
Get to grips with Python's impressive range of Machine Learning libraries and frameworks
From retrieving data from APIs to cleaning and visualization, become more confident at tackling every stage of the data pipeline
Book Description
Machine Learning is transforming the way we understand and interact with the world around us. But how much do you really understand it? How confident are you interacting with the tools and models that drive it?
Python Machine Learning Blueprints puts your skills and knowledge to the test, guiding you through the development of some awesome machine learning applications and algorithms with real-world examples that demonstrate how to put concepts into practice.
You'll learn how to use cluster techniques to discover bargain air fares, and apply linear regression to find yourself a cheap apartment and much more. Everything you learn is backed by a real-world example, whether its data manipulation or statistical modelling.
That way you're never left floundering in theory you'll be simply collecting and analyzing data in a way that makes a real impact.
What you will learn
Explore and use Python's impressive machine learning ecosystem
Successfully evaluate and apply the most effective models to problems
Learn the fundamentals of NLP – and put them into practice
Visualize data for maximum impact and clarity
Deploy machine learning models using third party APIs
Get to grips with feature engineering
About the Author
Alexander T. Combs is an experienced data scientist, strategist, and developer with a background in financial data extraction, natural language processing and generation, and quantitative and statistical modeling. He is currently a full-time lead instructor for a data science immersive program in New York City.
Table of Contents
The Python Machine Learning Ecosystem
Build an App to Find Underpriced Apartments
Build an App to Find Cheap Airfares
Forecast the IPO Market using Logistic Regression
Create a Custom Newsfeed
Predict whether Your Content Will Go Viral
Forecast the Stock Market with Machine Learning
Build an Image Similarity Engine
Build a Chatbot
Build a Recommendation Engine
Authors: Alexander Combs
Date: 2016-07-29
Upload Date: 4/25/2017 1:25:59 PM
Format: AZW3
Pages: 332
OCR:
Quality:
Language: English
ISBN / ASIN: B01CID6IGQ
ISBN13:
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