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An End-to-End Machine Learning Project: Analysing Forex Currency Trends

!! Code based on tutorial by : @furkhan67 !!

This project is an introduction to industry-style machine learning.

  • Dataset📑: "Foreign_Exchange_Rates.xls" Sample of 2000-2019 forex data

  • analysis.ipynb📢: Performed Exploratory Data Analysis, completed preprocessing, evaluated the performance of 3 time series models (Prophet, ARIMA, LSTM), trained models on individual currencies, and used joblib to save the best models.

  • app.py🎆: Web app setup using Streamlit

  • Dockerfile: For production-ready packaging

Note: Run the streamlit app using streamlit run app\app.py

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Forecasting currency data using time-series models. This is a basic predictor for learning, it does not take into account any economic indicators.

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