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[Feature Request]: Add Support Vector Regression (SVR) in Machine Learning #3469

Closed pavitraag closed 2 months ago

pavitraag commented 2 months ago

Is there an existing issue for this?

Feature Description

Introduce a Support Vector Regression (SVR) module to the project, enabling users to perform robust regression analysis. This feature will allow users to fit complex, non-linear relationships in their data by using the SVR algorithm, with options to customize kernel functions, regularization parameters, and epsilon values.

Use Case

In real life, integrating an SVR module can significantly enhance applications such as predicting real estate prices based on features like location, size, and amenities, forecasting stock prices by capturing complex market patterns, or estimating future sales for inventory management. By providing accurate and reliable predictions, SVR can help businesses make informed decisions, optimize resources, and improve overall performance.

Priority

High

Record

github-actions[bot] commented 2 months ago

Hi @pavitraag! Thanks for opening this issue. We appreciate your contribution to this open-source project. Your input is valuable and we aim to respond or assign your issue as soon as possible. Thanks again!

github-actions[bot] commented 2 months ago

Hello @pavitraag! Your issue #3469 has been closed. Thank you for your contribution!