Attempted to predict the outcome of the 2020 Presidential using several ML models
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Updated
Nov 18, 2020 - Python
Attempted to predict the outcome of the 2020 Presidential using several ML models
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.
This mini-project involves experimenting with a variety of classification and regression models, exploring different techniques to understand their behaviors and applications in predictive analytics.
Boston house price prediction using Linear Regression.
imdb movie rating prediction
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