- The goal is to perform an evaluation of Microsuturing which is a surgical technique of stitching under a microscope.
- Implementation of the gradient descent algorithm on mean squared error (MSE) loss to find linear regression parameters.
- Also includes implementation of OVA (One-vs-All) classifier for multiclass classification built on linear regression.
- Refer to
report.pdffor more implementation details and analysis
-
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The goal is to perform an evaluation of Microsuturing which is a surgical technique of stitching under a microscope. Implementation of the gradient descent algorithm on mean squared error (MSE) loss to find linear regression parameters. Also includes implementation of OVA classifier for multiclass classification.
Stiti-create/Linear-Regression-Implementation
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The goal is to perform an evaluation of Microsuturing which is a surgical technique of stitching under a microscope. Implementation of the gradient descent algorithm on mean squared error (MSE) loss to find linear regression parameters. Also includes implementation of OVA classifier for multiclass classification.
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