Subject archive for "code," page 3
Data Science
Fitting Support Vector Machines via Quadratic Programming
In this blog post we take a deep dive into the internals of Support Vector Machines. We derive a Linear SVM classifier, explain its advantages, and show what the fitting process looks like when solved via CVXOPT - a convex optimisation package for Python.
By Nikolay Manchev18 min read
Data Science
ML internals: Synthetic Minority Oversampling (SMOTE) Technique
By Nikolay Manchev22 min read
Data Science
Credit Card Fraud Detection using XGBoost, SMOTE, and threshold moving
By Nikolay Manchev16 min read
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