Custom implementation of Support Vector Machines using Python and NumPy
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Updated
Apr 2, 2020 - Jupyter Notebook
Custom implementation of Support Vector Machines using Python and NumPy
SVM algorithm for handwritten digit classification
OOP Python project. Hypothetical retirement plan for NFL players. Final project for the ITAM's Standards of Actuarial Practice class (Spring 2016).
Uplift modeling and estimation via the "Uplift Support Vector Machine".
This repo consist of the assignments and other code snippets of the module EN4553.
SVM implementation for Binary and Multiclass classification using standard SVM library and Convex optimastion method
Support Vector Machines from scratch using CVXOPT library.
Compilation of different ML algorithms implemented from scratch (and optimized extensively) for the courses COL774: Machine Learning (Spring 2020) & COL772: Natural Language Processing (Fall 2020)
Solving the Character recognition problem as an SVM optimization problem using CVXOPT
SVM implementation from scratch in python.
This code was written during the writing of my undergraduate thesis as a means to understand the inner details of Support Vector Machines. This includes a rough translation of the original \epsilon -SVR and \nu -SVR based on the C source code (https://www.csie.ntu.edu.tw/~cjlin/libsvm/))
Classification of a radially seperated dataset using SVM with RBF kernel using CVXOPT
Desktop app for creating glaze recipes satisfying constraints on oxides and/or ingredients
The project Epsilon SVR is built from Scratch with minimum Sk Learn packages. This Epsilon SVR improves the SVR Model.
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