First public machine learning project using Python3 and a KNN model.
Using a public dataset from the UCI Machine Learning Repository, the model will predict if a patient is at risk for heart disease. The initial version has an accuracy rate of 55% to 70%, with plans to improve the model and data points over time.
Uses code snippets from https://github.com/adiptamartulandi/KNN-and-Tuning-Hyperparameters/blob/master/Adipta%20Martulandi%20-%20KNN%20%2B%20Tuning.ipynb https://techwithtim.net/tutorials/machine-learning-python/saving-models/