Lightning ⚡️ fast forecasting with statistical and econometric models.
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Updated
Aug 23, 2024 - 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.
Amazon SageMaker Local Mode Examples
CryptoCurrency prediction using machine learning and deep learning
Material for the course "Time series analysis with Python"
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
Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy
Shiny app for Price Optimization using prophet and lme4 libraries for R.
Time Series Analysis project with Prophet.
Compendio de conocimiento sobre series temporales, para la predicción de series temporales con todos los métodos tratados en nuestro laboratorio DICITS.
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