The Ultimate Guide To Supervised Learning | Classification And Regression | Part 2
๐ฅ The second part of the ultimate guide to supervised learning talks about the two types of supervised algorithms: classification and regression. The main differences are explained on real-world examples and visuals. Additionally, the algorithms and evaluation metrics for both categories are listed. Note that we will talk about them in the upcoming videos! So, stay tuned!
๐ Key points covered:
0:00 - Introduction.
0:05 - Classification explained.
0:17 - Binary classification explained.
0:34 - Multiclass classification explained.
0:48 - Regression explained.
1:03 - Regression examples.
1:0โฆ
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Chapters (9)
Introduction.
0:05
Classification explained.
0:17
Binary classification explained.
0:34
Multiclass classification explained.
0:48
Regression explained.
1:03
Regression examples.
1:09
ML algorithms for classification and regression.
1:16
Evaluation metrics for classification and regression.
1:28
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