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## 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/
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