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Name: Mohammad Neamul Kabir

Type: User

Bio: Ph.D candidate at School of Computing in National University of Singapore

Location: Singapore

Mohammad Neamul Kabir's Projects

bamtools

C++ API & command-line toolkit for working with BAM data

bootstrap-fileinput

An enhanced HTML 5 file input for Bootstrap 3.x with file preview, multiple selection, and more features.

brainteaser

An interactive web based application, problems are waiting to be solved in different categories (ex. algebra, programming etc)

cs3244-2010

CS3244 Machine Learning Website for Sem I AY 2020/2021

ensemblefam

EnsembleFam: Towards a more accurate protein function prediction in twilight zone

perceptron-classifier-normal-rewardpunishment-pocket-keslerconstruction-

Perceptron is a powerful algorithm to classify two or multi class data. Here we implemented four versions of perceptron algorithm. Those are, for two class: Normal Algorithm, Reward Punishment Algorithm, Pocket Algorithm; For Multi Class: Kesler's Construction. We used IRIS dataset for our training and test samples.

privacy-preserving-log-reg

text-classifier-using-knn-naive-bayes

This is a text classifier, which classifies a text into given classes in training data. We used K-nearest neighbor and Naive Bayes algorithm to do so, and compared both algorithm. The input set we used is stock exchange data on different topic like: space, biology, astronomy, cooking, anime etc. The input is taken from a xml file.

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