Course curriculum

    1. Overview

    2. Quick Outline

    3. General ML task

    4. Explain with an example

    5. Test your understanding

    6. Discuss about Data

    1. Discuss about models

    2. Test your Knowledge

    3. Machine Learning types

    4. General Idea

    5. Supervised Learning explained

    6. Build up the model

    7. Data set

    8. Learn the relationship

    9. Learning process

    10. Supervised Learning process

    11. Test our Model

    12. Predict on new Inputs

    13. Supervised learning types

    14. Regression

    15. Classification

    1. Recap

    2. Recap continued

    3. Continuous vs Discrete values

    4. Discuss examples

    5. Test your understanding

    6. Challenge Answer

    7. Test your understanding

    8. Challenge answer

    9. Congratulations on completing this course!

About this course

  • $295.00
  • 30 lessons
  • 1.5 hours of video content

What others are saying about this course

5 star rating

Supervised Machine Learning Course Review

Stanley Wang

This was a highly informative course. The speaker was great and knowledgable, and I came away more interested and passionate about the topic

This was a highly informative course. The speaker was great and knowledgable, and I came away more interested and passionate about the topic

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4 star rating

Supervised Machine Learning Review

Casper Yu

This course was a good quick review of the basic concepts of machine learning and diving into more of supervised learning and the process of it. Some of the ...

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This course was a good quick review of the basic concepts of machine learning and diving into more of supervised learning and the process of it. Some of the sections felt a little bit repetitive and could be skipped over without missing much.

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4 star rating

Good introduction

Bao Nguyen

I liked the nice introduction to concepts behind supervised machine learning. They sum up nicely content from previous courses and add some more depth into t...

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I liked the nice introduction to concepts behind supervised machine learning. They sum up nicely content from previous courses and add some more depth into the supervised category

Read Less