Data Science & ML track

Classification

Logistic regression, SVM, k-NN, class imbalance and probability calibration.

8 concepts1 challenges
0%
0% complete
Keep going!
Concepts

Start learning

Work through the concepts in order, or jump to what you need.

1

Classification Overview

Concept · Hands-on lab included

2

Logistic Regression

Concept · Hands-on lab included

3

Naive Bayes

Concept · Hands-on lab included

4

Class Imbalance

Concept · Hands-on lab included

5

Threshold Tuning and Cost

Concept · Hands-on lab included

6

Multiclass Classification

Concept · Hands-on lab included

7

Probability Calibration

Concept · Hands-on lab included

8

Choosing Among Classifiers

Concept · Hands-on lab included

Continue

Next modules

Keep your learning streak going with related modules.