Over the past few days, I’ve 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.
🔍 Tech Stack:
Python
scikit-learn
pandas, numpy, matplotlib
✨ Feature:
Predicts currency exchange rates
🧠 What I Learned:
Handling and cleaning financial data
Time series prediction challenges
Model optimization and performance evaluation
🗂 GitHub Repo:
Shamsuddin-Hamdule/ml-currency-forecasting I'd love your feedback, and feel free to fork, star, or contribute!