## Instructions to Run Code for Supervised Learning - Assignment 1
Clone the Repo : https://github.com/yogeshmpandey/MachineLearningOMSCS
Yogesh Pandey
ML CS7641
[email protected]
- Python >=3.7     
- matplotlib >=2.0.0
- numpy >=1.7      
- pandas >=0.13.1   :  0.24.2 

Code based on scikit-learn v0.21.3.

3 datasets I used for this project:
- Cleveland Heart Disease dataset 
- Pima Indians Diabetes 
- banknote dataset

Python files to run each algorithms separately: Python <filename.py>

References
https://medium.com/thalus-ai/performance-metrics-for-classification-problems-in-machine-learning-part-i-b085d432082b
https://www.kaggle.com/rnmehta5/pima-indian-diabetes-binary-classification
https://medium.com/@mohtedibf/indepth-parameter-tuning-for-decision-tree-6753118a03c3
https://www.dataquest.io/blog/learning-curves-machine-learning/
https://github.com/hakantekgul/cs7641-assignment1/blob/master/ML_tools.py
https://www.andreagrandi.it/2018/04/14/machine-learning-pima-indians-diabetes/