Just a simple implementation of K-Nearest Neighbour algorithm.
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Updated
Sep 8, 2016 - Java
Just a simple implementation of K-Nearest Neighbour algorithm.
A collection of machine learning and AI projects implemented in Jupyter notebooks, covering regression, classification, and neural networks
Predicting customer retention in an e-commerce platform using classification models. Includes data preprocessing, feature engineering, and model evaluation (Logistic Regression, SVM, Random Forest, KNN, Decision Tree). Best model achieves 83% accuracy and perfect recall. Ideal for business use.
Classification of Heart Disease using a variety of supervised learning classifiers
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