The Startup
Published in

The Startup

A Brief Introduction to ARIMA and SARIMAX Modeling in Python

Time series analysis is a great tool for predicting future events such as market values changing. ARIMA and SARIMA are great tools for time series analysis. They require data in a ‘long’ format. By this I mean a collection (preferably a pandas data-frame) of data points where each data point is associated with a time (in pandas this would be a series with different times forming the index). ARIMA stands for auto regressive integrated moving average. SARIMAX is similar and stands for seasonal auto regressive integrated moving average with exogenous…




Get smarter at building your thing. Follow to join The Startup’s +8 million monthly readers & +756K followers.

Recommended from Medium

The Lusi collection is now published

Knowledge Graphs For eXplainable AI

Don’t Know How to Scrape the Web? Here’s Why You Should Learn Right Now

Text Data Visualization with WordCloud of Any Shape in Python

Pandas vs SQL. When Data Scientists Should Use One Over the Other.

2014 Chicago Potholes

Plotting Covid-19 data using roughviz (Javascript Library) in Python

Golden Rules of Data Science-2

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store
Datascience George

Datascience George

Data scientist learning at Flat Iron School

More from Medium

Cracking the Secret Behind Time Series Forecasting

CAN you tell the Future? Humm, Maybe …

Time series clustering based on autocorrelation using Python

Understanding Monte Carlo Simulation and its implementation with Python