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

A cluster of Machine Learning algorithms

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

Tour of Machine Learning Algorithms for Binary/Multiclass Classification

Wrapper on top of liblinear-tools

Android malware detection from static features with ML classification algorithms- Decision Tree, K-Nearest Neighbours, Linear SVM and Random Forest.

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

Using deep learning and transfer learning techniques to differentiate plain roads and those with potholes using three different classifiers to obtain the best accuracy with the same convolutional base

Twitter Sentiment Analysis (Ml hackathon)

Face detection using Facial Landmark prediction and Comparision of standard emotion recognition algorithms

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

Semantic Enrichment, Data Augmentation and Deep Learning for Boosting Invoice Text Classification Performance: A Novel Natural Language Processing Strategy

Package provides javascript implementation of support vector machines

Performed feature selection using F-score method to filter out the important features in order to optimize the performance of Linear SVM machine learning model. The accuracy achieved was above 63%.

Prediction of diabetes health indicators for machine learning class final project

Statistical Pattern Recognition (classic machine learning)

Iris Species Classification usin various ML models.

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