GitHub / SridharYadav07 / Code_Alpha-_Task-4

This project demonstrates the typical steps in a machine learning pipeline from data preprocessing and cleaning to training a model and evaluation its performance. The use of Random Forest is appropriate here given the complexity of the dataset, and with further tuning and improvements, this model could be used to make accurate predictions on heart

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SridharYadav07%2FCode_Alpha-_Task-4

Topics: confusion-matrix, jypyternotebook, labelencoder, matplotlib, numpy, pandas, python, random-forest-classifier, scikit-learn

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