Time Series Intelligence

Photo by Viva Luna Studios on Unsplash

This is a post to link together various past/future ones into a single story.

  1. Understanding time series and various concepts like stationary, seasonality, trend and additive/multiplicative series.
  2. Forecasting with Facebook Prophet
  3. Forecasting with SARIMA
  4. Forecasting with LinkedIn Greykite
  5. Trying out Auto-ML with AWS and GCP
  6. Auto-ML with Azure
  7. How to understand and explain accuracy of forecasts

There will probably be some more related posts over time and I will try to keep this index updated!





Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

Benefits of Optimization on Supply Chain Logistics

D-Tale — The best library to perform faster EDA

What does it mean to be Data Scientist at Jellysmack?

Finding the next Williamsburg — Site Selection Using “Big Data”

Customer behavior on the Starbucks rewards App

Data Fabric vs. Data Mesh vs. Data Hubs. What’s What?!

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
Rahul Agarwal

Rahul Agarwal


More from Medium

Rise in electric car sales in last 5 years

Cracking the Secret Behind Time Series Forecasting

An easy start into Time-series Forecasting: A practical example using Darts library

Automatic Time Series Forecasting with rego in R and Python