Python Guide

Clear Introduction to Python Programming and Machine Learning

De: Alex Campbell

Narrado por: Jim D Johnston, Darcey Kobs

Duración: 5 h y 46 m

Resumen del Editor

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, buy now, and start a new journey of discovery.

©2020 Alex Campbell (P)2020 Alex Campbell