A fast, robust Python library to check for offensive language in strings.

Forest cover type classification/detection using linear support vector machine implemented with gradient descent (from scratch)

Wrapper on top of liblinear-tools

Tour of Machine Learning Algorithms for Binary/Multiclass Classification

Package provides javascript implementation of support vector machines

Digit recognition using SVM

Twitter Sentiment Analysis (Ml hackathon)

Machine learning research using python ,opencv ,scikit learn ,various implementation of algorithms

Bag of Words Meets Bags of Popcorn

Vehicle detection using support vector classification and sliding windows

falppy-bird machine-learning program using svm and GAN

Detecting hate speech using the spoken content of videos using Machine Learning

This project used OpenCV HOG people detector to build an accurate and fast enough implementation to detect people in images and videos.

Implementation of Perceptron, Winnow and Adagrad-Perceptron, along with their averaged versions on synthetic and real world datasets

Detect different parts of the face such as, eyes brows, nose, jaw, etc. individually

Detects facial landmarks in real-time from the input feed of a webcam/usb-camera/pi-cam using a HOG + Linear SVM model.

A Google Chrome Extension that estimates the Reliability, Polarity and Subjectivity of any news article on the web. It allows you to like/dislike any article and recommends you articles based on your choices.

Experiments with several machine learning models for tumor classification

Build a linear SVM classifier to classify emails into spam and ham. The dataset, taken from the UCI ML repository, contains about 4600 emails labelled as spam or ham. Build a non-linear SVM classifier to classify emails and compare the performance with the linear SVM model.

Syracuse University, Masters of Applied Data Science - IST 736 Text Mining