282 final project
This project focuses on building a Naive Bayes classifier to classify movie reviews obtained from Rotten Tomatoes
Course repo for Applied Natural Language Processing (Spring 2019)
This project conducts EDA on the Boston Housing Data set and employs a range of techniques to predict house prices in Boston.
This short clip demonstrates how our software categorizes the roads of Chicago into various risk bands for different times of the day, and different days of the week.
This repository is for the Data-X project materials
DataX Team 28 | Topic: Predicting Traffic Safety of Chicago Streets based on the frequency & severity of accidents
This project implements a basic face recognition system by implementing the unsupervised k-means clustering algorithm from scratch.
RESTful API to identify groups eligible for various government grants
This project implements the gradient descent optimization algorithm from scratch and uses it to minimize the RMSE of regression models