Package provides javascript implementation of support vector machines
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Updated
Jun 2, 2017 - JavaScript
Package provides javascript implementation of support vector machines
Forest cover type classification/detection using linear support vector machine implemented with gradient descent (from scratch)
Implementation of Perceptron, Winnow and Adagrad-Perceptron, along with their averaged versions on synthetic and real world datasets
Detects facial landmarks in real-time from the input feed of a webcam/usb-camera/pi-cam using a HOG + Linear SVM model.
Detect different parts of the face such as, eyes brows, nose, jaw, etc. individually
Bag of Words Meets Bags of Popcorn
falppy-bird machine-learning program using svm and GAN
Detecting hate speech using the spoken content of videos using Machine Learning
Twitter Sentiment Analysis (Ml hackathon)
Vehicle detection using support vector classification and sliding windows
Tour of Machine Learning Algorithms for Binary/Multiclass Classification
Experiments with several machine learning models for tumor classification
Syracuse University, Masters of Applied Data Science - IST 736 Text Mining
This project used OpenCV HOG people detector to build an accurate and fast enough implementation to detect people in images and videos.
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.
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.
Linear Support Vector Machine for sentiment analysis of twitter data using Spark MLlib and RDDs.
Face detection using Facial Landmark prediction and Comparision of standard emotion recognition algorithms
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