Price: $2.99
(as of Sep 12, 2024 04:01:28 UTC – Details)
Ready to add Machine Learning to your skill stack?
As the second title in the Machine Learning From Scratch series, this book teaches you how to code machine learning models in Python. By working on different projects with repeatable steps, you will have the blueprints and the effective strategies to code and design prediction models using your own data.
Who is this book for?
The book is designed for beginners with basic background knowledge of machine learning, including common algorithms such as logistic regression and decision trees. For a gentle explanation of machine learning theory minus the code, we suggest reading the first book in this series Machine Learning for Absolute Beginners (Third Edition), which is written for a more general audience.
In this step-by-step guide you will learn:
• How to code a machine learning prediction model using a range of algorithms including logistic regression, gradient boosting, and decision trees.
• How to install a development environment and use the programming language Python to code 10 different models.
• How to write your model in the least amount of code possible with the help of Pandas, Scikit-learn, Matplotlib, and Seaborn.
• How to visualize relationships in your dataset including Heatmaps and Pairplots with just a few lines of code.
Please feel welcome to join this introductory course by buying a copy, or sending a free sample to your chosen device.
From the Publisher
Add Machine Learning to Your Skill Stack in 2023
Plain English Explanations
All technical concepts are explained in plain English to keep you learning all the way to the final chapter!
Video Content Included
Enjoy access to video classes and code demonstrations to reinforce fundamental concepts.
Chapter Quizzes
Test your knowledge and technical understanding with practical chapter quizzes along the way.
Code Exercises
Learn how to code your own basic prediction models using Python and datasets available online.
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Python Code Examples
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Pre-requisites
None (basic Python & statistics useful) Basic Python Basic Python None None
Video Content
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ASIN : B07WN1TV57
Publisher : Scatterplot Press; 1st edition (August 15, 2019)
Publication date : August 15, 2019
Language : English
File size : 27204 KB
Simultaneous device usage : Unlimited
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Enabled
Word Wise : Not Enabled
Sticky notes : On Kindle Scribe
Print length : 188 pages
Page numbers source ISBN : 1686658494
