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Automated Time Series Forecasting

October 15 @ 5:40 pm - 6:40 pm


Hi Everyone,

Welcome to Norfolk Data Science Meetup.

Meetup Topic: Automated Time Series Forecasting

What is this talk about?

“How to reliably forecast a time-series data like inventory/stocks using automated forecast methods?”.

Forecasting is a powerful decision support tool but executing with accuracy and with the business pace is a challenging exercise for business analysts/data scientists/researches. It is a helpful tool for individuals interested to invest in stocks/crypto-currencies with careful market analysis.

Let us discuss the most recent and advanced forecasting methods which are robust and yet simple to use with minimal/without any coding experience. Let us discuss Facebook’s open-source library: “Prophet” and Amazon’s latest product: “Amazon Forecast Service”

In this presentation, we will be talking and demo:

1) Intro to time series data and forecasting
2) Facebook Prophet
3) Forecast Inventory using Prophet
4) Evaluating your forecast results
5) Amazon Forecast Service
6) Forecast a Stock Price using Amazon Forecast Service

Upon, members’ interest we can extend the topic of time series forecasting using different techniques and use-cases in up-coming meetup sessions. Please share your feedback.

Email: [masked] to join our slack channel.

Please comment below if you have any questions and I hope to see you there.


GitHub Repo: Links will be updated soon in the comments.

About Presenter:
Raja Harsha Chinta is the organizer of the Meetup. He is currently a Data Scientist with Dominion Enterprise with good experience in solving large scale data-oriented problems. Connect with him at or email: [masked].

Relevant online resources:

Forecasting Principles and Practice by Rob J Hyndman:

Facebook Prophet:

Amazon Forecast:

Prior Installations/Setup (Optional):

Jupyter Notebook:


October 15
5:40 pm - 6:40 pm

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