Assignment 1 readme

Datasets:

1. Heart Disease Dataset: Download from: https://www.kaggle.com/datasets/fedesoriano/heart-failure-prediction/data
2. Spambase: https://archive.ics.uci.edu/dataset/94/spambase

Before running:

1. Ensure that all the packages mentioned in requirements.txt is present in your env
2. To run Neural Network code it is better to run it in google collab or similar, there are chances that your system crashes if you run locally
3. Download, if not present the datasets - they should be named: heart.csv, spambase.data, spambase.names

Files to run

1. Heart Disease - Unsupervised Learning.ipynb - run this to get clustering and dim red on Heart Disease.
2. Spambase - Unsupervised Learning.ipynb - run this to get clustering and dim red on spambase dataset.

How to run:

1. Clone: https://github.gatech.edu/gt-omscs-ml/cs-7641-2024-fall-nsaji6 2.Start launch jupyter from anaconda
2. Navigate to Assignment - 3
3. Choose either: Heart Disease - Unsupervised Learning.ipynb or Spambase - Unsupervised Learning.ipynb
4. Run all cells in them sequentially.

Link to overleaf Project: https://www.overleaf.com/read/grbmbyktxzdp#98f584

Unsupervised-Learning-on-Heart-Diseases