Electricity Consumption Prediction

### Electricity Consumption Prediction

A Machine Learning project focused on analyzing electricity consumption patterns and predicting household appliance energy usage based on historical consumption data and environmental factors.

The project involves data preprocessing, Exploratory Data Analysis (EDA), feature engineering, and training and evaluating multiple regression models, including KNN, Linear Regression, Decision Tree, and Random Forest, to identify the best-performing model.

**Technologies:** Python, Pandas, NumPy, Matplotlib, Seaborn, and Scikit-learn.

**Objective:** To gain insights into energy consumption patterns and develop a reliable predictive model that can support energy monitoring and more efficient energy management.