Lightning ⚡️ fast forecasting with statistical and econometric models.

NeuralProphet: A simple forecasting package

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

A multiverse of Prophet models for timeseries

Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy

Python library to forecast univariate time series through backtesting model selection

📊 📊 Cryptocurrencies Price Forecaster 🔥

Prophetly Server powered by Tornado and Prophet (PyPI Package)

Crypto & Stock* price prediction with regression models.

Applying a structural time series approach to California hourly electricity demand data.

predicting mortality in England using air quality data

Structural time series modeling and forecasting in Python

Prometheus time series Anomaly Detection on top of Facebook Prophet model

JPMorgan Emerging Market Bond Index (EMBI) analysis and web services

Forecast USD/MX future prices using python pyramid & fbprophet as web services and web app.

This project uses machine learning models (Linear Regression and LSTM) to analyze and forecast stock market prices. It retrieves stock data from Yahoo Finance, performs exploratory data analysis (EDA), processes and engineers features, and predicts future prices. The project includes model evaluation metrics