2022-SC2598-000ZZ-2022-SCP8082660-N0: SVM Implementation using Hinge Loss and Stochastic Gradient Descent | STEM

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SVM Implementation using Hinge Loss and Stochastic Gradient Descent

◄ Prove that, if the Perceptron algorithm is initialized with the null vector, then the coefficient η does not affect learning
Bias and Variance evaluation in a controlled regression task ►

Code Available on Google Colab:

https://colab.research.google.com/drive/16NPsmQD6nWu7ubOKmdEprAHCfDNknKju?usp=sharing

Also on Github:

https://github.com/solmvz/MLActivities/blob/477c6284643d36dd3c92487698c17eaaa82bafdf/SupportVectorMachine.ipynb