Unsupervised-Learning

Homework 20 Unsupervised Learning

Part 1: Prepare the Data

Part 2: Apply Dimensionality Reduction

The number of dimensions stayed the same after applying dimesnionality reduction using PCA. This could be because we started with a small amount of features.

Further reduce the dataset dimensions with t-SNE and visually inspect the results.

Part 3: Perform a Cluster Analysis with K-means

Create an elbow plot to identify the best number of clusters. Make sure to do the following:

It appears the elbow is at K = 3.

Part 4: Make a Recommendation