Machine Learning: Step-by-Step Guide To Implement Machine Learning Algorithms with Python
On Sale Now! Save 3% on the Machine Learning: Step-by-Step Guide To Implement Machine Learning Algorithms with Python by CreateSpace Independent Publishing Platform at EMS Linux. Hurry! Limited time offer. Offer valid only while supplies last. MACHINE LEARNING - PYTHONBuy the Paperback version of this book, and get the Kindle eBook version included for FREE! Do You Want to Become An Expert
MACHINE LEARNING - PYTHON
Buy the Paperback version of this book, and get the Kindle eBook version included for FREE!
Do You Want to Become An Expert Of Machine Learning?? Start Getting this Book and Follow My Step by Step Explanations! Click Add To Cart Now!
This book is for anyone who would like to learn how to develop machine-learning systems. We will cover the most important concepts about machine learning algorithms, in both a theoretical and a practical way, and we'll implement many machine-learning algorithms using the Scikit-learn library in the Python programming language. In the first chapter, you'll learn the most important concepts of machine learning, and, in the next chapter, you'll work mainly with the classification. In the last chapter you'll learn how to train your model. I assume that you've knowledge of the basics of programming
This book contains illustrations and step-by-step explanations with bullet points and exercises for easy and enjoyable learning.
Benefits of reading this book that you're not going to find anywhere else:
- Introduction to Machine Learning
- How to train a Model
- Different Models Combinations
Don't miss out on this new step by step guide to Machine Learning. All you need to do is scroll up and click on the BUY NOW button to learn all about it!
|Manufacturer:||CreateSpace Independent Publishing Platform|
|Publisher:||CreateSpace Independent Publishing Platform|
|Studio:||CreateSpace Independent Publishing Platform|
|Item Size:||0.24 x 9 x 9 inches|
|Package Weight:||0.47 pounds|
|Package Size:||6 x 0.24 x 0.24 inches|