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Kaggle Energy Prediction Competition 🏆

Overview:

Welcome to the GitHub repository for my solution to the Kaggle Energy Prediction Competition! This competition aimed to develop accurate models for predicting energy consumption in prosumers, with the goal of minimizing energy imbalance costs.

Achievement:

I'm thrilled to share that my solution secured a Silver Medal 🥈, placing me in the Top 5% of the public leaderboard. This README provides a brief overview of the project and guides you through the implementation in the accompanying notebook.

Notebook Contents:

The notebook encompasses innovative techniques and methodologies applied to tackle the complexities of energy forecasting. From feature engineering to model selection, each step is detailed to provide insights into the decision-making process.

Enefit-Ensemble-Submission-Final.ipynb

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