Household Energy Consumption Prediction

This project focuses on building a Machine Learning model to predict household energy consumption. The model leverages two algorithms: Linear Regression and K-Nearest Neighbors (KNN) to analyze and forecast energy usage effectively. The aim is to provide accurate predictions based on historical energy consumption data.

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For more details about the project, visit the LinkedIn .