codefinity

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

100%

Complete all chapters to get certificate

k-NN Classifier

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

What is Logistic Regression

Finding The Parameters

Implementing Logistic Regression

Decision Boundary

Overfitting. Regularization

Challenge

Logistic Regression Summary

Decision Tree

What is Decision Tree

Splitting the Nodes

Crazy Tree

Implementing a Decision Tree

Decision Tree Summary

Random Forest

What is Random Forest

The Randomness of Forest

Implementing a Random Forest

Random Forest Summary

Comparing Models

Confusion Matrix

Metrics

Comparing models challenge

Summary