Python ML

Clear Step-by-Step Guide to Machine Learning with Python

De: Alex Campbell

Narrado por: James Cassidy

Are you interested in machine learning? Do you want to know how it all works and what it involves? Then you've chosen the right guide.

Machine learning is a subset of computer science and artificial intelligence. There's no getting away from the fact that it is here to stay, and it is already changing how many businesses work and target their customers. It's a complex subject, but this guide will give you a concise overview of the steps required in every machine learning project.

Here's what you will learn:

· How to install Python on Windows and Mac

· A short look at the common Python machine learning libraries and packages

· How to collect data for a machine learning project

· How to prepare the data

· How to choose the right machine learning model

· How to train your model

· How to evaluate your model

· What parameter tuning involves

· How to make predictions using your trained model

Then you'll get a walkthrough on how to implement all those steps, with some code examples.

What you won't get is a guide on how to use Python. It is expected that you will have some knowledge of this popular programming language before you start or will want to learn it when you have listened to the guide.

For now, if you want to get inside machine learning with Python, scroll up, buy now, and start a new chapter in your life.

©2022 Alex Campbell (P)2022 Alex Campbell