Lightning ⚡️ fast forecasting with statistical and econometric models.
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Updated
Nov 13, 2026 - Python
Lightning ⚡️ fast forecasting with statistical and econometric models.
NeuralProphet: A simple forecasting package
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Price calculator/predictor for Turnip prices
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.
Modeltime unlocks time series forecast models and machine learning in one framework
Streamlit app to train, evaluate and optimize a Prophet forecasting model.
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
Book and material for the course "Time series analysis with Python" (STA-2003)
CryptoCurrency prediction using machine learning and deep learning
Amazon SageMaker Local Mode Examples
A multiverse of Prophet models for timeseries
AI-powered sales forecasting platform with 5 ML models (XGBoost, ARIMA, Prophet, LSTM), interactive dashboard, anomaly detection, RFM customer segmentation & inventory management
Shiny App that offers an interactive interface to explore the main functions of the [prophet Package](https://cran.r-project.org/package=prophet)
Time Series Forecasting for the M5 Competition
Time Series Analysis project with Prophet.
Arima, Sarima, LSTM, Prophet, DeepAR, Kats, Granger-causality, Autots
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