In this video, I discuss the topic of unsupervised learning. I explain what unsupervised learning actually means, its subcategories, and which models can be used.
Regression Models:
k-Means
Gaussian Mixture Model (GMM)
DBSCAN
Classification Models:
Principal Component Analysis (PCA)
Locally Linear Embedding (LLE)
Timestamps:
0:00 Intro
0:14 Explanation of Unsupervised Learning
1:15 Clustering Models
7:44 Dimensionality Reduction Models
15:04 Outro
Sources:
Intro Image: Ahmed Gad on Pixabay (with slight color changes)
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https://codingwithmagga.com/
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