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Automated Time Series Forecasting
October 15 @ 5:40 pm - 6:40 pm
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.
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 https://www.linkedin.com/in/raja-harsha-chinta-a378ba75/ or email: [masked].
Relevant online resources:
Forecasting Principles and Practice by Rob J Hyndman: https://otexts.com/fpp2/
Facebook Prophet: https://facebook.github.io/prophet/
Amazon Forecast: https://aws.amazon.com/forecast/
Prior Installations/Setup (Optional):
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