A collection of personal projects for learning and experimentation across different domains.
Location: Currency-Exchange-Rates-Prediction/
A machine learning project for foreign exchange rate prediction using historical data. Features include:
- Data preprocessing and feature engineering
- Model training with scikit-learn
- REST API for serving predictions
- Virtual environment setup for dependency management
Technologies: Python, scikit-learn, Flask, pandas, numpy
Status: Active development
Each project contains its own README with specific setup and usage instructions. Navigate to the project directory and follow the individual README for detailed information.
Pet-Projects/
├── Currency-Exchange-Rates-Prediction/ # FX rate prediction ML project
│ ├── train-fx-model.py # Model training script
│ ├── serve_fx_model.py # API server
│ ├── requirements.txt # Python dependencies
│ └── README.md # Project documentation
└── README.md # This overview file
These are personal learning projects. Feel free to explore the code and provide feedback!