This repository explores various techniques for analysis, forecasting, and anomaly detection. It features end-to-end deployment using Fast API and Streamlit and ML Systems design This repository explores a diverse set of techniques for time series analysis forecasting. Notably, it features end-to-end deployment utilizing Fast API and Streamlit, along with ML systems design
- ARMA
- ARIMA
- Auto ARIMA
- Facebook Prophet
- KNN
- XGBoost
- Random Forest
- LSTM
UC Irvine Machine Learning Repository and Kaggle
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Advanced Forecasting with Python by Joos Korstanje (Apress, 2021)
Darts: User-Friendly Modern Machine Learning for Time Series
Machine Learning Engineering with Python Textbook "by Andrew McMahon