ML Zoomcamp 1.3 - Supervised Machine Learning

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00:00 Introduction
00:19 Examples of supervised machine Learning
03:00 Explanation
06:05 Notation
09:44 Regression
11:15 Classification
13:51 Ranking
17:15 Summary

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0:19 - Examples of SML
3:00 - Explanation
6:05 - Notation
9:44 - Types of SML - Regression
11:15 - Classification
13:51 - Ranking
17:15 - Summary

HShravzP
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Excellent explanations, I like the way you generalize, it makes it easy to understand and also apply it later to some other cases, thanks!

migi
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features X, target y, model g .Thank you for this clarifications.

drybary