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Module 12- Python part1: Mastering Clustering techniques using Sklearn (Kmeans, Hierarchical)

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Relevant playlists:
Instructor: Pedram Jahangiry
All of the slides and notebooks used in this series are available on my GitHub page, so you can follow along and experiment with the code on your own.
Lecture Outline:
0:00 recap and where to find the material + preprocessing data
11:00 Kmeans clustering in python using the "sklearn" package
24:12 Finding the optimal k (Elbow method vs Silhouette method)
35:37 Hierarchical clustering in python using the "sklearn" package
Instructor: Pedram Jahangiry
All of the slides and notebooks used in this series are available on my GitHub page, so you can follow along and experiment with the code on your own.
Lecture Outline:
0:00 recap and where to find the material + preprocessing data
11:00 Kmeans clustering in python using the "sklearn" package
24:12 Finding the optimal k (Elbow method vs Silhouette method)
35:37 Hierarchical clustering in python using the "sklearn" package