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Implementation of the Polynomial String Kernel and linear time String Kernel implementation. Compatible and ready for easy plug-in to Scikit-Learn's Support Vector Machines and supports multithreading.
Code templates for data prep and different ML algorithms in Python.
This code reads a dataset i.e, "Heart.csv". Preprocessing of dataset is done and we divide the dataset into training and testing datasets. Linear, rbf and Polynomial kernel SVC are applied and accuracy scores are calculated on the test data. Also, a graph is plotted to show change of accuracy with change in "C" value.
Đồ án vấn đáp môn Máy học Phân lớp ảnh chữ số viết tay bằng SVM
Project for Kernel-Based Machine Learning and Multivariate Modelling course at UPC Barcelona (FIB)
Developmnent of OS161
Predicting whether a person has breast cancer or not using different algorithms.
Comparing different classification models on the same dataset to classify people into genders based on several features.