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Python Machine Learning Blueprints
Python Machine Learning Blueprints

Python Machine Learning Blueprints: Put your machine learning concepts to the test by developing real-world smart projects , Second Edition

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€8.99 €29.99
eBook Jan 2019 378 pages 2nd Edition
eBook
€8.99 €29.99
Paperback
€36.99
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Renews at €18.99p/m
Arrow left icon
Profile Icon Chhajed Profile Icon Combs Profile Icon Roman
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€8.99 €29.99
eBook Jan 2019 378 pages 2nd Edition
eBook
€8.99 €29.99
Paperback
€36.99
Subscription
Free Trial
Renews at €18.99p/m
eBook
€8.99 €29.99
Paperback
€36.99
Subscription
Free Trial
Renews at €18.99p/m

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Python Machine Learning Blueprints

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Key benefits

  • Get to grips with Python's machine learning libraries including scikit-learn, TensorFlow, and Keras
  • Implement advanced concepts and popular machine learning algorithms in real-world projects
  • Build analytics, computer vision, and neural network projects

Description

Machine learning is transforming the way we understand and interact with the world around us. This book is the perfect guide for you to put your knowledge and skills into practice and use the Python ecosystem to cover key domains in machine learning. This second edition covers a range of libraries from the Python ecosystem, including TensorFlow and Keras, to help you implement real-world machine learning projects. The book begins by giving you an overview of machine learning with Python. With the help of complex datasets and optimized techniques, you’ll go on to understand how to apply advanced concepts and popular machine learning algorithms to real-world projects. Next, you’ll cover projects from domains such as predictive analytics to analyze the stock market and recommendation systems for GitHub repositories. In addition to this, you’ll also work on projects from the NLP domain to create a custom news feed using frameworks such as scikit-learn, TensorFlow, and Keras. Following this, you’ll learn how to build an advanced chatbot, and scale things up using PySpark. In the concluding chapters, you can look forward to exciting insights into deep learning and you'll even create an application using computer vision and neural networks. By the end of this book, you’ll be able to analyze data seamlessly and make a powerful impact through your projects.

Who is this book for?

This book is for machine learning practitioners, data scientists, and deep learning enthusiasts who want to take their machine learning skills to the next level by building real-world projects. The intermediate-level guide will help you to implement libraries from the Python ecosystem to build a variety of projects addressing various machine learning domains. Knowledge of Python programming and machine learning concepts will be helpful.

What you will learn

  • Understand the Python data science stack and commonly used algorithms
  • Build a model to forecast the performance of an Initial Public Offering (IPO) over an initial discrete trading window
  • Understand NLP concepts by creating a custom news feed
  • Create applications that will recommend GitHub repositories based on ones you've starred, watched, or forked
  • Gain the skills to build a chatbot from scratch using PySpark
  • Develop a market-prediction app using stock data
  • Delve into advanced concepts such as computer vision, neural networks, and deep learning

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jan 31, 2019
Length: 378 pages
Edition : 2nd
Language : English
ISBN-13 : 9781788997775
Category :
Languages :

What do you get with eBook?

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Product feature icon Download this book in EPUB and PDF formats
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Product Details

Publication date : Jan 31, 2019
Length: 378 pages
Edition : 2nd
Language : English
ISBN-13 : 9781788997775
Category :
Languages :

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Table of Contents

12 Chapters
The Python Machine Learning Ecosystem Chevron down icon Chevron up icon
Build an App to Find Underpriced Apartments Chevron down icon Chevron up icon
Build an App to Find Cheap Airfares Chevron down icon Chevron up icon
Forecast the IPO Market Using Logistic Regression Chevron down icon Chevron up icon
Create a Custom Newsfeed Chevron down icon Chevron up icon
Predict whether Your Content Will Go Viral Chevron down icon Chevron up icon
Use Machine Learning to Forecast the Stock Market Chevron down icon Chevron up icon
Classifying Images with Convolutional Neural Networks Chevron down icon Chevron up icon
Building a Chatbot Chevron down icon Chevron up icon
Build a Recommendation Engine Chevron down icon Chevron up icon
What's Next? Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon
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