Contains code for a voting classifier that is part of an ensemble learning model for tweet classification (which includes an LSTM, a bayesian model and a proximity model) and a system for weighted voting

This project presents Hera, an Operating System level voice recognition package that understands voice commands to perform actions to simplify the user’s workflow. We propose a modernistic way of interacting with Linux systems, where the latency of conventional physical inputs are minimized through the use of natural language speech recognition.

Recognize Handwritten Digits(persian/english) with Neural Networks

An automated tag prediction system on stackoverflow

An Automated tag prediction system for the question posted on stack overflow is done using machine learning

Perceptron, Pseudo Inverse Linear Classifier, SGD, SVM, Batch Gradient Descent, Minibatch Gradient Descent with tensorflow

Using Spark Streaming and Spark MLlib (via PySpark) to perform Sentiment Analysis on a dataset of Tweets.

In this challenge, I build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).

Sentiment Analysis with Spark Streaming

spam/ham classifier

A simple classifier of music genders, Naive bayes, SGD and SVM used.

Supervised Machine Learning methods (Random Forest and SGD Classifier) to classify short conversations extracted from Reddit

Improving Performance for Distributed SGD using Ray

Fake reviews detection using SGD Classifier , with an flexible user interface

Binary Classification for Movie Reviews