Machine Learning Entrepreneurship – Applied Data Science

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Machine Learning Entrepreneurship – Applied Data Science 4.7 (30 ratings) Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.

What you’ll learn

  • Learn how to transform your ML ideas into fully interactive web applications and paywall subscription sites


This class can be summarized in one sentence, “to learn how to put your machine learning ideas into your customer’s plate”. That’s it.

Here we will extend multiple Python machine learning ideas into fully interactive web applications, into a format that anybody anywhere can access as long as they have access to a web browser. Our last project will be built around a professional paywall infrastructure so you can control and monetize how and whom can access it.

Whether you want to test out business ideas or share advanced and predictive analytics ideas with the world, the tools taught in this class will allow you to do that quickly, easily and without spending a lot of money.

Who this course is for:

  • Data scientists, python programmers, weekend entrepreneurs

Data Scientist & Quantitative Developer

Data scientist with over 20-years experience in the tech industry, MAs in Predictive Analytics and International Administration, author of Monetizing Machine Learning and The Little Book of Fundamental Indicators, founder of FastML, reached top 1% on Kaggle and awarded “Competitions Expert” title, taught over 20,000 students on Udemy and VP of Data Science at SpringML.

From consulting in machine learning, healthcare modeling, 6 years on Wall Street in the financial industry, and 4 years at Microsoft, I feel like I’ve seen it all. And this has opened my eyes to the huge gap in educational material on applied

“It just ain’t real ‘til it reaches your customer’s plate” Udemy

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