Python Machine Learning: Complete and Clear Introduction to the Basics of Machine Learning with Python. Comprehensive Guide to Data Science and Analytics.
- Auteur
- Narrateur
- Éditeur
- 2 évaluations
3.5
- Séries
2 sur 1
- Durée
- 2h 26min
- Langue
- Anglais
- Format
- Catégorie
Documents et essais
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.
© 2020 Alex Campbell (Livre audio): 9781662266218
Date de publication
Livre audio : 1 août 2020
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