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

Alex Campbell

Narrator Darcey Kobs

Publisher: Alex Campbell

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Summary

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. 
Duration: about 2 hours (02:26:44)
Publishing date: 2020-07-31; Unabridged; Copyright Year: — Copyright Statment: —