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Forked from tejasdubhir/Human_Activity_recognition
Recognizing different human movements and postures and evaluating results using SVM, Logistic Regression, Random Forest Classifier, SGD, K-means clustering, and GDA and Neural Nets (MLP).
Classifying Hijacked Twitter Hashtags (from famous trends) using NLP techniques, ML Models, and Majority Voting technique.
Python implementation of dropClust algorithm which enables clustering of Single Cell RNA-Seq data.
This project was a part of our DBMS course in which we implemented a complete website to carry out entire an election online
Implementation of IPC between a server and two or more clients using named pipes.
Python GUI app with BioPython, TKinter and Selenium which does protein sublocalization predictions using BLAST API and WOLF-PSORT algorithms,
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