PySVM : A NumPy implementation of SVM based on SMO algorithm. Numpy构建SVM分类、回归与单分类，支持缓存机制与随机傅里叶特征

Support Vector Machines Implementation from scratch in C++

Custom implementation of Support Vector Machines using Python and NumPy

To deal with non-linearly separable we use SVM's Kernel Trick which maps data to higher dimension!

SVM classifier using PEGASOS algorithm.

In this video, I'll try to explain the hyperparameters C & Gamma in Support Vector Machine (SVM) in the simplest possible way.

This project implements the Support Vector Machine (SVM) algorithm for predicting user purchase classification. The goal is to train an SVM classifier to predict whether a user will purchase a particular product or not.

This is a machine learning project made on Credit Card Fraud Detection. The data is taken from Kaggle. Different classification machine learning algorithms have been applied to get the maximum accuracy.

Machine Learning Projects Repository

Handwritten Digit Recognition Model

Repository of my Homework for the course "Machine Learning and Artificial Intelligence" of Prof. Barbara Caputo (a.y. 2018/2019)

As part of this project, I have used Machine Learning (classification) algorithms for classification of tumors in Human Breasts as Non-Cancerous/ Benign or Cancerous/ Malignant tumors.

A collection of my practices using the following algorithms: DBSCAN, KNN, Decision Tree Classifier, K-means, Apriori, SMOTE, SVM

SVM algorithm in Python with classification. The goal of this project is to predict whether the customer will purchase a car(1) or not(0).

My Machine Learning Repository

As part of this project, various classification algorithms like SVM, Decision Trees and XGBoost was used to classify a GPU Run as high or low time consuming process. The main purpose of this project is to test and compare the predictive capabilities of different classification algorithms