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Quality Score

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Overall Score : 92 / 100

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Course Description

Learn how to use Machine Learning with Python Scikit! This is a getting started course for Machine Learning. If you are new to Machine Learning, this course is for you! We'll teach you how to get started with Machine Learning including these topics:
  • What is Machine Learning
  • Automatically classify new data
  • Predict prices with regression
  • Group your data automatically with clustering
Who this course is for:
  • Python developers curious about Machine Learning

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Instructor Details

Frank Anemaet

Sharing my experience in Technology here on Udemy. I have a background in Computer Science and worked with nearly every programming language on the planet. I graduated with highest distinction during my masters program. I've worked on projects ranging from Robotics, Web Apps, Mobile Apps to Embedded Systems. These courses will help you achieve your goals.To your success!

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Reviews

4.6

16 total reviews

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Few more examples would be helpful . The subtitles appearing during the training video are not correct, wrongly spelled or different words altogether

I'm starting on ML and this course could be, for its contents, a good step to start.I will come back to update my feedback while I will progressing.

Great Course, but very simple, hope that can add more detail content and case study at the future time!

Overall lectures were good however; these could have been presented in the better way. In place of showing visual of incomplete stuff (or main command), direct reference for .py file can be used as visual to explain.Additional comment at the start, "before you go through with videos, download the .py file of respective lecture, go through with it and then start the lecture to understand it better" will help to everyone (specially for beginners).Thanks & Regards,Amit

Easy to follow along

Some terms could be explained more detailed, for example, it is said "from scikit import tree" but it is not explained in course what does it mean and why it is needed.

Good Course