A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.

If you can measure it, consider it predicted

A library that unifies the API for most commonly used libraries and modeling techniques for time-series forecasting in the Python ecosystem.

Time series forecasting models for web traffic forecasting

Real time streaming of a time series with corresponding forecasts.

SARIMAX model for forecast traffic volume

Time Series Analysis and Forecasting: Use SARIMAX to Predict Customer Complaints

An ML-powered web app to predict cloud data consumption of a SaaS system user using Time Series Forecasting (TSF)

Time series data analysis, decomposition, and forecasting using Python libraries to forecast future values of poverty rates across various countries.

Time Series Analysis and Visualization of Earth Surface Temperature using Berkeley Earth Data by building a Machine Learning Model in Python

Complete data-ML pipeline for forecast model of electricity consumption in Victoria

SARIMAX forecast tool: Python demo web app with Streamlit

Base Docker images used with the pmdarima repo

Predicting Walmart Sales and Performing Exploratory Data Analysis

Time Series Forecasting of the Multivariate El Niño-Southern Oscillation (ENSO) Using ARIMA Models.

Currency Exchange Rate Forecasting is a Time-Series forecasting model which is built to forecast the INR-USD Currency Exchange Rates using SARIMAX algorithm.

📈 Creating models with Python and Machine Learning to predict the evolution of COVID-19 in Brazil.

Criando modelos com Python para prever a evolução do Covid-19 no Brasil

A comprehensive time series analysis of French retail quarterly sales data from 2012 to 2017. The project focuses on analyzing sales patterns, seasonal decomposition, and trend analysis using various statistical techniques and visualizations.