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Cluster Analysis in Python
4.8(1,002)INTERMEDIATEEnglish
Korshub's take
Master Unsupervised Learning
Ever wondered how platforms like Google News automatically categorize similar stories? This intermediate-level course pulls back the curtain on that process by teaching you the mechanics of unsupervised learning using Python's SciPy library.
What You'll Learn
Moving beyond basic tutorials, this course focuses on practical data application through the following stages:
- Data Pre-processing: Preparing your datasets for effective analysis.
- Clustering Techniques: Hands-on application of both k-means and hierarchical clustering.
- Real-World Practice: Using FIFA 18 player statistics to ground theoretical concepts in a relatable dataset.
By the end of this curriculum, you will be equipped to implement clustering algorithms, visualize the resulting groups, and interpret your findings to extract meaningful insights from complex data.
About this course
You have probably come across Google News, which automatically groups similar news articles under a topic. Have you ever wondered what process runs in the background to arrive at these groups? In this course, you will be introduced to unsupervised learning through clustering using the SciPy library in Python. This course covers pre-processing of data and application of hierarchical and k-means clustering. Through the course, you will explore player statistics from a popular football video game, FIFA 18. After completing the course, you will be able to quickly apply various clustering algorithms on data, visualize the clusters formed and analyze results.
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