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!

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

SVM classifier using PEGASOS algorithm.

Machine Learning Projects Repository

Handwritten Digit Recognition Model

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.

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

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

A kernel SVM practice on MNIST handwritten digits image dataset.

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

SVM-Perceptron On Flight DataSet