Example of Machine Learning application: State of Charge estimation of a battery using SVR

An undergraduate project to evaluate classifiers for facial expression recognition.

Signature Verification using Deep Convolution Neural Networks

SVM-based object detection using dlib for python

PCA applied on images and Naive Bayes Classifier to classify them. Validation, cross validation and grid search with multi class SVM

Using Stanford CoreNLP and SVM-Rank in a Supervised Approach to Text Difficulty Ranking

Animates the SVM Decision Boundary Hyperplane on the Iris data

This is a SVM(Support Vector Machine) for Machine Learning.

Easy to understand classification problem from a highly skewed kaggle dataset. Solved using logistic regression and SVM, code inspired from top contributor.

Object Detection Framework using HOG as descriptor and Linear SVM as classifier.

Predicting the stance for tweets using SVM

This project demonstrates the application of Support Vector Machines. 📚

This repository contains the four machine learning projects I created for my machine learning class. I used the Python package SciKit to write each algorithm.

Contains code involving CS 503 - Lab 3 : Implementation of Support vector Machine.

To see if drivers were being profiled. I built a Support Vector Machine (SVM) classifier and a randomForest classifier to predict a driver's race given the traffic's stop's details. Successful classification will indicate the existence of bais in the traffic stops' data.

Reducing the Number of Training Samples for Fast Support Vector Machine Classification python implementation