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Onbeperkte toegang tot een oneindige bibliotheek vol verhalen - allemaal in 1 app.

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Alex Campbell

Machine learning is fast becoming an important technique used by multiple industries, and in applications and research. But you don’t have to be part of a massive organization with an endless pot of money to get involved.

Even beginners using the Python programming language can be a part of machine learning, and that is what this book is for. Today, the only limit to machine learning is your imagination. In this book, I provide you with an overview of machine learning and some practical work to get your hands dirty.

Here’s what you will learn:

· Important machine learning concepts and applications

· The difference between supervised and unsupervised learning

· Commonly used supervised and unsupervised learning algorithms and models

· What libraries you will benefit from using

· How to visualize your data

· Regression and classification learning models

· An introduction to data science

· The five-step plan to becoming a data scientist

· Ten things that everyone needs to know about machine learning

You’ll even get a complete hands-on project that takes you through building your own machine learning project.

What you won't get is a lesson on using Python programming language; this book requires that you already know the basics.

So, if you are interested in taking your programming even further, scroll up, hit that Buy Now button, and start a new journey of discovery.

Darcey Kobs

Pyhon

Python Machine Learning: Complete and Clear Introduction to the Basics of Machine Learning with Python. Comprehensive Guide to Data Science and Analytics.