Twine

Machine Learning Model for Predicting Ghana’s Inflation Rates (Next Five Years)

Benedicta Bondzie
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  • Project creator

I developed a Machine Learning model to predict Ghana’s inflation rates for the next five years, combining historical economic indicators with advanced regression techniques. Using Python and PyTorch, I collected, cleaned, and preprocessed large datasets from multiple sources to ensure accurate and reliable predictions. The model incorporates time-series analysis and evaluates various economic scenarios, providing actionable insights for policymakers and researchers.

This project demonstrates my ability to apply AI and Machine Learning to real-world economic forecasting while maintaining a strong focus on data integrity and ethical modeling practices. All aspects of the project, from data preparation to model deployment, were handled independently by me.

Check out the full project on [GitHub](https://www.twine.net/signin