Classifying purchase events with introduction of dimensions to linearly separate the data points. The SVM algorithm uses Radial basis Function (RBF) Kernel.

We will apply soft-margin SVM to handwritten digits from the processed US Postal Service Zip Code data set.

Multiclass Multilabel Classification using SVM on Frogs Dataset

Letter Recognition using non linear rbf kernel in SVM

Support Vector Machines (SVMs in short) are supervised machine learning algorithms that are used for classification and regression purposes. In this kernel, I have build a Support Vector Machines classifier to classify a Pulsar star. I have used the Predicting a Pulsar Star dataset for this project.

Object Detection with cars

Regularized Logistic Regression using mini-batch Stochastic Gradient Descent

RBF network implementation and demo in Java

This project focuses on creating a spam filter using SVM

Polyharmonic spline interpolation in PyTorch

Introductory Applied Machine Learning - Coursework 1: simple machine learning model development, and analysis using Sci-Kit Learn and Numpy

Modeling Portfolio (Python based)

Built this Support Vector Machine for classification using scikit-learn and the Radial Basis Function (RBF) Kernel. Our training data set contains continuous and categorical data from which we will predict whether or not a patient has heart disease.

Created a model from scratch (without using any libraries) to predict whether a person have a heart diseases using support vector machine. and then compare the model's accuracy with model created using Sklearn library.

Predicting Diabetes Mellitus Using Machine Learning Techniques 🩺🤖

This repository contains codes for running naive bayes and k-NN classification algorithms on large dataset in python

Developed a model that can correctly identify the digit (between 0-9) written in an image.

SVMs are used for Classification as well as Regression problems. However, it is primarily used for Classification problems. #%% md # The Technique (Support Vector Machine) Support Vector Machine or SVM is one of the most popular Supervised Learning algorithms, which is used for Classification as well as Regression problems. However, primarily, i…