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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   8m 31s
☷  Interactive readings   5m

Performing PCA to reduce dimension

Sometimes, some classifiers cannot work well with too many dimensions (such as KNeighborClassifier). We will try to reduce the dimension of our data and try to plot it.

Performing Clustering to the Data

The clustering method can classify the cluster in the data. While it gives us clusters, it is our task to find out what those clusters are.

We will see that our clusters are basically smokers vs non-smokers.

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