Cluster Analysis in Python

Level: Advanced — Author: Writix

Cluster Analysis in Python

Level: Advanced • Duration: 3 hours

Author: Writix

About This Course

Have you ever noticed how Google News groups similar articles on a single topic? This course introduces you to unsupervised learning through clustering with the SciPy library in Python. You'll learn how to preprocess data and apply both hierarchical and k-means clustering techniques. Using player statistics from the popular FIFA 18 video game, you will gain practical experience in applying various clustering algorithms, visualizing the resulting clusters, and analyzing the outcomes.

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Cluster Analysis in Python

Duration: 3 hours

XP Points: 350

Participants: 0

Materials

- Data enthusiasts looking to understand clustering techniques. - Aspiring data scientists wanting to enhance their Python skills. - Students interested in machine learning and data analysis. - Professionals seeking to apply clustering in real-world scenarios. - Game analysts looking to explore player statistics through data.