Ratings & reviews

3.03 ratings

Ghada S.

71 days ago

More examples and simple challenges would be good to improve this course content. At some point, it was hard to follow.

Mustafa B.

225 days ago

Zach D.

238 days ago

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info

Complete all chapters to get certificate

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k-NN Classifier

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What is Classification

What is k-NN

k-NN with Multiple features

Implementing k-NN

Multi-Class Classification

Train-test split. Cross validation

Choosing the best k value.

k-NN Summary

Logistic Regression

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What is Logistic Regression

Finding The Parameters

Implementing Logistic Regression

Decision Boundary

Overfitting. Regularization

Challenge

Logistic Regression Summary

Decision Tree

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What is Decision Tree

Splitting the Nodes

Crazy Tree

Implementing a Decision Tree

Decision Tree Summary

Random Forest

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What is Random Forest

The Randomness of Forest

Implementing a Random Forest

Random Forest Summary

Comparing Models

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Confusion Matrix

Metrics

Comparing models challenge

Summary