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Python Machine Learning By Example
Python Machine Learning By Example

Python Machine Learning By Example: The easiest way to get into machine learning

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Profile Icon Yuxi (Hayden) Liu Profile Icon Ivan Idris
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€28.99 €32.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (30 Ratings)
eBook Feb 2025 254 pages 1st Edition
eBook
€28.99 €32.99
Paperback
€41.99
Paperback
€29.99
Subscription
Free Trial
Arrow left icon
Profile Icon Yuxi (Hayden) Liu Profile Icon Ivan Idris
Arrow right icon
€28.99 €32.99
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3 (30 Ratings)
eBook Feb 2025 254 pages 1st Edition
eBook
€28.99 €32.99
Paperback
€41.99
Paperback
€29.99
Subscription
Free Trial
eBook
€28.99 €32.99
Paperback
€41.99
Paperback
€29.99
Subscription
Free Trial

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Python Machine Learning By Example

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Key benefits

  • Learn the fundamentals of machine learning and build your own intelligent applications
  • Master the art of building your own machine learning systems with this example-based practical guide
  • Work with important classification and regression algorithms and other machine learning techniques

Description

Data science and machine learning are some of the top buzzwords in the technical world today. A resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. This book is your entry point to machine learning. This book starts with an introduction to machine learning and the Python language and shows you how to complete the setup. Moving ahead, you will learn all the important concepts such as, exploratory data analysis, data preprocessing, feature extraction, data visualization and clustering, classification, regression and model performance evaluation. With the help of various projects included, you will find it intriguing to acquire the mechanics of several important machine learning algorithms – they are no more obscure as they thought. Also, you will be guided step by step to build your own models from scratch. Toward the end, you will gather a broad picture of the machine learning ecosystem and best practices of applying machine learning techniques. Through this book, you will learn to tackle data-driven problems and implement your solutions with the powerful yet simple language, Python. Interesting and easy-to-follow examples, to name some, news topic classification, spam email detection, online ad click-through prediction, stock prices forecast, will keep you glued till you reach your goal.

Who is this book for?

This book is for anyone interested in entering the data science stream with machine learning. Basic familiarity with Python is assumed.

What you will learn

  • • Exploit the power of Python to handle data extraction, manipulation, and exploration techniques
  • • Use Python to visualize data spread across multiple dimensions and extract useful features
  • • Dive deep into the world of analytics to predict situations correctly
  • • Implement machine learning classification and regression algorithms from scratch in Python
  • • Be amazed to see the algorithms in action
  • • Evaluate the performance of a machine learning model and optimize it
  • • Solve interesting real-world problems using machine learning and Python as the journey unfolds

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Last updated date : Feb 11, 2025
Publication date : May 31, 2017
Length: 254 pages
Edition : 1st
Language : English
ISBN-13 : 9781783553129
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

Last updated date : Feb 11, 2025
Publication date : May 31, 2017
Length: 254 pages
Edition : 1st
Language : English
ISBN-13 : 9781783553129
Category :
Languages :

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Frequently bought together


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Total Can$ 116.97
Python Machine Learning By Example
€41.99
Python Machine Learning, Second Edition
€32.99
Artificial Intelligence with Python
€41.99
Total Can$ 116.97 Stars icon

Table of Contents

8 Chapters
Getting Started with Python and Machine Learning Chevron down icon Chevron up icon
Exploring the 20 Newsgroups Dataset with Text Analysis Algorithms Chevron down icon Chevron up icon
Spam Email Detection with Naive Bayes Chevron down icon Chevron up icon
News Topic Classification with Support Vector Machine Chevron down icon Chevron up icon
Click-Through Prediction with Tree-Based Algorithms Chevron down icon Chevron up icon
Click-Through Prediction with Logistic Regression Chevron down icon Chevron up icon
Stock Price Prediction with Regression Algorithms Chevron down icon Chevron up icon
Best Practices Chevron down icon Chevron up icon

Customer reviews

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.3
(30 Ratings)
5 star 70%
4 star 13.3%
3 star 3.3%
2 star 3.3%
1 star 10%
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Top Reviews

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Durga Prasad Pattanayak Nov 20, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The book is too good for readers who has the knowledge of python and want to learn Machine learning.
Amazon Verified review Amazon
Amazon Customer Oct 26, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I started reading the book after I got it and already in love with it. What a book this is!
Amazon Verified review Amazon
GRaj Sep 23, 2018
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Very good book.
Amazon Verified review Amazon
AMIT KUMAR Sep 05, 2017
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Excellent book for someone starting to explore Machine Learning.The author's own personal experience in ML is penned into this wonderful book.Make no mistake, it has plenty of codes to support the theory.
Amazon Verified review Amazon
Amazon Customer Oct 14, 2019
Full star icon Full star icon Full star icon Full star icon Full star icon 5
an example is good and easy to explain
Amazon Verified review Amazon
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