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    Python Machine Learning Blueprints: Intuitive data projects you can relate to

    Posted By: AlenMiler
    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
    English | 29 July 2016 | ASIN: B01CID6IGQ | 332 Pages | AZW3 | 23.62 MB

    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