Summary
Chapters
Video Info
Dr. Chirag Shah, PhD, explains how density estimation, a branch of unsupervised learning, can be determined using MeanShift in Python. Using an example based on artificially generated, 3-dimensional data points, the model is able to find centroids and labels. Considerations for real-world data are also provided.
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Chapter 1: Density Estimation Using MeanShift in Unsupervised Machine Learning
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Chapter 2: Downloading and Installing Libraries
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Chapter 3: An Example Using "make_blobs" to Create 3-Dimensional, Artificial Data Points
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Chapter 4: Finding the Centroids and Labels
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Chapter 5: Considerations when Using Real-World Data
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