University Solutions Hub provides Machine Learning Week 11 solution (Machine Learning).

Week 11: Unsupervised Learning using Dimension Reduction

MNIST / Fashion MNIST image data The main objective is to write a fully executed R-Markdown program performing dimension reduction on a high dimensional image data using MNIST (digits) and Fashion MNIST (apparel) images that are 28 x 28 pixels resolution. Make sure to describe the final hyperparameter settings of all algorithms that were used for comparison purposes.

#Discussions:

Dimension reduction techniques Describe in detail the difference between PCA, t-SNE and UMAP dimension reduction techniques.

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Only for knowledge gain and helping to the students(who are facing difficulties when solving to the Assessments/ Home works) with their course support.

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