Question: In Python 1 . Using any mnist dataset, load the dataset 2 . Partition the dataset into 8 0 % training and 2 0 %

In Python
1. Using any mnist dataset, load the dataset
2. Partition the dataset into 80% training and 20% testing.
3. Run LDA on the training set.
4. Plot the LDA on 2d scatterplot
5. Compare the results with a 2d PCA scatterplot, comment on the differences
6. Answer if the LDA can be plotted in 3d space, why or why not.
7. Ensure that the scatterplot has proper x label, y label, and legend as well. Must compile and generate plots.
In Python 1. Using any mnist dataset, load the dataset 2.

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