Assignment 2 readme

Datasets:

1. Heart Disease Dataset: Download from: https://www.kaggle.com/datasets/fedesoriano/heart-failure-prediction/data

Before running:

1. Ensure that all the packages mentioned in requirements.txt is present in your env
2. Download, if not present the datasets - they should be named: heart.csv
3. For mlrose, it is better to clone mlrose repo: https://github.com/gkhayes/mlrose and then install rather than using pip

Files to run

1. Neural Network Optimization.ipynb - Optimize NN using Random Hill climbing, Simulated Annealing and Genetic Algorithm
2. Optimization Algo.ipynb - Random Hill climbing, Simulated Annealing and Genetic Algorithm on 4 peaks and N Queens

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 - 2
3. Choose either: Neural Network Optimization.ipynb or Optimization Algo.ipynb
4. Run all cells in them sequentially.

Link to overleaf Project: https://www.overleaf.com/read/qbyytrjfqxwr#a0bd3d

Randomized-Optimization