bissessk,Kieran Bissessar,github

15-puzzle-solver-using-a-star-graph-search

This project solves a 15 puzzle board from an input file using A star graph search

analog-clock-gui-in-java

This is a simple analog clock GUI created in Java that utilizes socket programming and threads to get updated time information.

chatroom-program-in-java

This is a simple chatroom program (with GUI) that utilizes socket programming in both the client and the server's side.

covid-19-convolutional-neural-network-classifier

Chest x-rays of COVID-19 positive and negative patients were used to build a neural network classifier that can predict the chance of a patient having the virus

covid-19-predictions-using-sird-dynamics-and-machine-learning

This project aims to incorporate SIRD dynamics with machine learning techniques to make long term predictions of the spread of COVID-19.

dcgans-to-generate-clothing-images-using-fashion-mnist

The goal of this project was to train and visualize the outputs of a simple Deep Convolutional GAN (DCGAN) to generate realistic-looking (but fake) images of clothing

decision-tree-classifier-on-breast-cancer-data

Decision Tree Classification was explored on Breast Cancer Data.

futoshiki-solver-using-backtracking-and-forward-checking

This project solves a Futoshiki Board given an input files using the least number of moves. Backtracking, forward checking, the mrv heuristic, and the degree heuristic was used.

logistic-regression-classification-using-scikit-learns-iris-dataset-

This project involves training the Logistic Regression model in the Scikit-Learn Library to classify various features of the iris dataset.

musical-instrument-classification-using-deep-learning

This project involves classifying musical instruments given a sample of music. The goal was to determine which instrument (e.g. trumpet, violin, piano) is playing.

object-detection-using-detectron2-by-facebook

The performance of three different object detection networks was evaluated using Detectron2, Facebook AI’s object detector library.

principal-components-analysis-of-peripheral-blood-mononuclear-cells

A dataset of Peripheral Blood Mononuclear Cells (PBMCs) was analyzed using clustering and non-parametric methods like PCA.

regression-analysis-of-covid-19

The objective of this project is to study the COVID-19 outbreak using basic statistical techniques and make short term predictions using ML regression methods.

rna-seq-analysis-of-control-and-nrde2-depleted-breast-cancer-cells

Performed a differential gene expression analysis with RNA-seq that compares the expression in human control breast cancer cell lines with lines treated by silencing the NRDE2 gene. A Salmon + tximport + DESeq2 workflow was conducted to pursue this.

rna-seq-using-svm-and-lr-model

SciKit Learn's Support Vector Machine and Logisitic Regression models were used to determine the mutation given a set of values for the different genes

sentiment-analysis-of-google-play-store-reviews-using-the-bert-model

The Bert Model was Used for Sentiment Analysis. The pretrained model was fine-tuned on a dataset of Google Play Store Reviews

stock-trading-management-database-application

Built a stock trading management application that involved designing/building a database and implementing a web front-end. Users can interact with other users as well as analyze their trades. The application was run on a Gauss server and sample data is provided to test the application.

swe1-app

Django Hello World

using-sentiment-analysis-to-predict-stock-price-movements-using-lstms

Predicted the price movement of the Dow Jones, Apple, and Microsoft with 60% accuracy by experimenting with more than 100 ensembles of long-short term memory networks (LSTMs). NLP techniques were explored such as sentiment analysis to use as features in the model.

whole-genome-bioinformatic-analysis-of-skin-from-three-immunologically-diverse-mouse-models

Performed a differential gene expression analysis with RNA-seq on three immunologically diverse mouse models. Differentially expressed genes were identified and a GO term enrichment analysis was done to determine their roles.

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