Machine Learning with Python: A Step-By-Step Guide to Learn and Master Python Machine Learning

by Hein Smith

Are you stuck in getting started with machine learning with python? A Step-By-Step Guide to Learn and Master Python Machine Learning walks you through steps for getting started with Machine Learning with Python. Python is a popular and open-source programming language. In addition, it is one of the most applied languages in artificial intelligence and other scientific fields. On the other hand, machine learning is a branch of AI that applied algorithms to learn from data and create predictions. Machine learning is important in predicting the world around us. All the way from self-driving cars to predictions in the stock market, there is no place where machine learning cannot be utilized. Today, it is a top skill in high demand in the job market. For that reason, why not grab a Step-By-Step Guide to Learn and Master Python Machine Learning? You’ll discover the steps required to develop a successful machine-learning application using Python and Scikit-learn library. As a discipline, ML tries to design and understand computer programs for purpose of prediction. With a Step-By-Step Guide to Learn and Master Python Machine Learning, you’ll • The important concepts and real-world application of machine learning. • Pros and cons of most popular machine learning algorithms • The basics of Python • Learn about data preprocessing, analysis, and visualization • Preprocessing techniques to use in data • Regression methods • Clustering • Recommendation engines • And many more If you are serious about machine learning with Python and don’t know how to get started, A Step-By-Step Guide to Learn and Master Python Machine Learning is your best tool to use.

80 pages, Kindle Edition

Published November 24, 2018

Reviews

[Stas Khirman · Rating 1 out of 5]

Very basic list of badly explained terminology ...

Not useful at all - just a list of basic terms and methods with not so good explanation. Just a few very basic examples of Python use for data preparation.