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An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.
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
Classifying a website based on it's URL. I've implemented Stochastic Gradient Descent, Multinomial Naive Bayes and Convolutional Neural Network for classifying the category of the URL.
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.
Sharing both theoretical and programing ideas, that I came across at Introduction to Machine Learning course. notes, homework solution and python assignment
Paid Promoters Recommender project objective is to make a recommendation system that recommends youtube content creators relevant to ads of advertisers.
Le Machine Learning, aussi appelé apprentissage automatique en français, est une forme d’intelligence artificielle permettant aux ordinateurs d’apprendre sans avoir été programmés explicitement à cet effet.