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日本語  ❯

Lesson 5    ❮    Lesson List    ❮    Top Page

5.1  Preprocessing with sklearn

5.2  Linear Regression

5.3  Logistic Regression

❯  5.4  Classification Methods

5.5  Clustering Methods

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EXPECTED COMPLETION TIME
❲▹❳  Video   3m 53s
☷  Interactive readings   5m

Applying Other Types of Classification Models

In the previous part, we see that logistic regression can perform machine learning for categorical variable.

We will see that there are numerous classification variables such as KNeighborClassifier, DecisionTreeClassifier, and AdaBoostClassifier.

The main thing to notice when using different kind of classifier is the variable inside it--you can adjust it so that it will give the highest accuracy.

©2023. All rights reserved.  Samy Baladram,
Graduate Program in Data Science - GSIS - Tohoku University
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