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From art to engineering: The programmatic approach to time series forecasting

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28

min

From art to engineering: The programmatic approach to time series forecasting

From art to engineering: The programmatic approach to time series forecasting

From art to engineering: The programmatic approach to time series forecasting

From art to engineering: The programmatic approach to time series forecasting

publish date

Oct 12, 2022

duration

28

min

Difficulty

Intermediate

Beginner

Beginner

Beginner

Case details

Time series forecasting used to be an art as much as it was an engineering feat. Feature engineering and boosting algorithms required a user to have significant statistical expertise to achieve usable results. With the Time Series Prediction Platform, we introduce a programmatic approach to solving forecasting tasks. During this workshop you will learn how to obtain and preprocess data, feed the data to a model using TSPP, use a model we provide, add a model of your own, compare different models, and choose the optimal model and parameters for a given problem.

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910 Foulk Road, Suite 201

Wilmington, DE 19803, USA

© 2025 Geekle. All rights reserved.

Questions?

Chat with Us!

910 Foulk Road, Suite 201

Wilmington, DE 19803, USA

© 2025 Geekle. All rights reserved.

Questions?

Chat with Us!

910 Foulk Road, Suite 201

Wilmington, DE 19803, USA

© 2025 Geekle. All rights reserved.

Questions?

Chat with Us!

910 Foulk Road, Suite 201

Wilmington, DE 19803, USA

© 2025 Geekle. All rights reserved.