TSForecasting: Automated Time Series Forecasting Framework

The project employs an automated time series forecasting approach using the autots library. This involves leveraging several machine learning algorithms internally to make predictions about future values based on historical data.

Data Science web application for automated forecasting of univariate time-series data using Facebook Prophet on Python-Streamlit.

End-to-end Financial MLOps pipeline for automated stock forecasting featuring PyTorch LSTM, Apache Airflow orchestration, MLflow tracking, MongoDB Atlas, and FastAPI containerized with Docker and GHCR.