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
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Updated
May 8, 2018 - Python
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).
spam/ham classifier
Sentiment Analysis with Spark Streaming
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
Binary Classification for Movie Reviews
Fake reviews detection using SGD Classifier , with an flexible user interface
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