Machine Learning Entrepreneurship - Applied Data Science (Udemy.com)

Learn how to transform your ML ideas into interactive web applications and paywall subscription sites - Master Class

Created by: Manuel Amunategui

Produced in 2021

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What you will learn

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

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Quality Score

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Overall Score : 96 / 100

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Course Description

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

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Instructor Details

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I am data scientist in the healthcare industry. I have been applying machine learning and predictive analytics to better patients lives for the past 3 years. Prior to that I was a developer on a trading desk on Wall Street for 6 years. On the personal side, I love data science competitions and hackathons - people often ask me how can one break into this field, to which I reply: 'join an online competition!'

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More courses by Manuel Amunategui

Machine Learning Web Applications - Advanced

$11.99

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Reviews

4.8

4 total reviews

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Excellent course, it's not just about ML alone, but building complete real world application using ML.

This is an outstanding course! The instructor is very good at explaining and breaking things down. He is awesome at architecting solution and this is a unique skill of his. The course does not focus too much on teaching flask itself but has good enough information to get anyone started. He rather focuses on the interesting applications he has for the students. I enjoyed the earthquakes examples very much especially the ETL and feature engineering pipeline. ML is not a focus of the course it is there for demonstration purposes only.

It's hard for me to choose tools from so many resources. This is a great course for those who already know Python basics but have no idea how to use Python in practice.

The video is really blurry, and its happening almost in every udemy tutorial that I have subscribe, can someone from udemy can explain why is this happening? Half of the videos is blurred..... But overall i got what I wanted to learn, thanks!