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Predicting Sports Outcomes Using Python and Machine Learning

Wanna become a data scientist within 3 months, and get a job? Then you need to check this out !

I am very happy to announce that I have released a new course on Experfy! The course covers sports prediction and betting using machine learning. I am attaching the course description below. Contact me if you are interested in a discount!

Course description: Predicting sports outcomes

The purpose of this course is to teach about how to use Python and machine learning in order to predict sports outcomes. It takes you through through all the steps, from collecting data using a web crawler to making profitable bets based on your predicted results.

The course is built around predicting tennis games, but the things taught can be extended to any sport, including team sports.

The course includes:

1) Intro to Python and Pandas.

2) Instructions on how to build a crawler in Python for the purpose of getting stats.

3) Data wrangling.

4) Using machine learning for sports predictions.

5) Discussion on advanced topics, like extension to team sports and using social media, such as Twitter, for additional information.

This course is geared towards people that have some interest in data science and some experience in Python. It does not require extensive coding experience, since all the scripts are provided. No prior experience in data science is required, even though it could be helpful. All the basic concepts are explained within the course.

You can read more about my other courses here. I am also offering an introductory course in data science using Weka, Python and R, as well as mentoring seervices in data science remotely or in person. Finally, I am also running the Tesseract Academy, which provides education in deep technical topics for non-technical decision makers and managers, including AI and blockchain.

Wanna become a data scientist within 3 months, and get a job? Then you need to check this out !