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

• 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.

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