Predicting energy_data Using Linear Regression

Project: Predicting Energy data Using Linear Regression

In this project, I built a Linear Regression model to predict Energy Consumption based on several building features.

? Steps included:

Data cleaning and preprocessing (handling missing values, converting categorical variables with one-hot encoding)

Exploratory Data Analysis (EDA) including correlation analysis

Train/Test split for model evaluation

Linear Regression model building

Evaluation using R², MAE, and MSE

? Tools & Skills Used:

Python, Pandas, NumPy, Matplotlib, Scikit-learn, Data Analysis, Data Visualization, Machine Learning

? Outcome:

The model can predict energy consumption for different building types and sizes, providing insights for energy management and optimization.