Support Vector Regression (SVR) is a type of Support Vector Machine used for predicting continuous values.
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Updated
Jun 28, 2025 - Jupyter Notebook
Support Vector Regression (SVR) is a type of Support Vector Machine used for predicting continuous values.
In this repository i performed a support vector regression on real life data , initially i performed some data preprocessing technique in order to filter out the data flaws then undergoes the process of model building i.e SVM regression in order to make a machine learning regression model.
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