Python Machine Learning Blueprints: Intuitive Data Projects You Can Relate To

Python Machine Learning Blueprints: Intuitive Data Projects You Can Relate To
by Alexander Combs / / / AZW3


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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

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