Over the past few days, Iβve been working on a project to predict currency exchange rates using historical data and machine learning techniques. The goal was to create a model that can give near-future predictions based on past trends.
π Tech Stack:
Python
scikit-learn
pandas, numpy, matplotlib
β¨ Feature:
Predicts currency exchange rates
π§ What I Learned:
Handling and cleaning financial data
Time series prediction challenges
Model optimization and performance evaluation
π GitHub Repo:
Shamsuddin-Hamdule/ml-currency-forecasting I'd love your feedback, and feel free to fork, star, or contribute!

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