Python implementation of K-Nearest Neighbors (KNN) Regressor for regression tasks. Versatile algorithm for predicting continuous outcomes based on neighboring data points. Suitable for various machine learning applications.

Boston house price prediction using Linear Regression.

imdb movie rating prediction

A simple machine learning project that implements a K-Nearest Neighbors (KNN) Regressor using scikit-learn to predict continuous values on a synthetic dataset, achieving strong performance with an R² score of 0.92.

Attempted to predict the outcome of the 2020 Presidential using several ML models