GitHub - nikolasavic/unsupervised_cluster_dim

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Name		Name	Last commit message	Last commit date
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Clustering.ipynb		Clustering.ipynb
Dimentionality Reduction.ipynb		Dimentionality Reduction.ipynb
EM Dim Red.ipynb		EM Dim Red.ipynb
README.txt		README.txt
k-means Dim Red.ipynb		k-means Dim Red.ipynb

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Nikola Savic
nsavic3

Source code:
============
https://github.com/nikolasavic/unsupervised_cluster_dim_red

Running the code:
=================
1) Install Anaconda following instructions here: https://docs.anaconda.com/anaconda/install/

2) Start Jupyter Notebook server with the following command: `jupyter notebook`

3) You can run all cells to get the complete report, although it may take some time.


Versions:
=========
Scikit Learn:     0.22
Numpy:            1.17.4
Pandas:           0.25.3
Matplotlib:       3.1.1
Seaborn           0.10.0
Python:           3.7.5
Juypter Notebook: 6.0.2


Data:
=====
There is no need to manually download the data since the code takes care of that for you, but if
you're interested it can be found here:
  MNIST: https://www.openml.org/d/554
  Credit: https://www.openml.org/d/31