Add Project - Energy Consumption Forecasting using Polynomial Regression

[keshripritesh]

🐞 Issue: Add Project - Energy Consumption Forecasting using Polynomial Regression

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Description:
This issue is to add a new project "Energy Consumption Forecasting using Polynomial Regression and Regularization".
The project predicts energy consumption using advanced regression techniques such as Linear Regression, Ridge, and Lasso, combined with Polynomial Feature Engineering.

Key Tasks:

• Preprocess data using pipelines with imputation, scaling, and encoding
• Implement polynomial regression with GridSearchCV for model tuning
• Evaluate using metrics like MSE, MAE, and R²
• Visualize results with scatter plots and time-series graphs
• Perform feature importance and correlation analysis

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Tech Stack:

• Python
• pandas, numpy, scikit-learn, matplotlib, seaborn

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Expected Outcome:
A well-tuned regression model for energy consumption forecasting, along with performance visualizations and feature analysis.

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