Some Aditya Mandal's repositories
yelp-rating-prediction
The goal of this project was to predict reviews' star ratings on Yelp using the review text. We built the following models that perform text analysis on review data to predict the rating stars.
earthquake-data-visualization
The USGS Earthquake Hazards Program monitors and reports earthquakes, assesses earthquake impacts and hazards, and researches the causes and effects of earthquakes.This project visualizes the Real Time Earthquakes from USGS using D3 and Leaflet.
terrorism-data-visualization-d3
The Global Terrorism Database (GTD) is an open-source database including information on terrorist events around the world from 1970 through 2016 (with annual updates planned for the future). This D3 project tries to visualize the terrorism events in India from 1977-2016.
PacmanProjects
The Pac-Man projects were developed for UC Berkeley's introductory artificial intelligence course, CS 188. They apply an array of AI techniques to playing Pac-Man. The same project was assigned for the module CS7IS2 (Artificial Intelligence) at Trinity College Dublin, Ireland for MSc. Computer Science (2017-18).
realtime-dublincity-transportation-dashboard
By 2020, the Central Statistics Office predicts the Dublin Region will reach a population of 2.1 million by 2020, with Dublin City will have a population of 610,000.This project aims at solving the current public transportation problems and providing a better solution for future.
Timeline
An Android based App which was developed to give the user's a brand new chatting experience and was presented as Bachelor of Engineering Completion Project in 2014. It was successfully implemented on a local network to explore its functionality, where it used IP to IP communication for image and message transfer.
plagiarism-detection-sagemaker
This repository contains code and associated files for deploying a plagiarism detector using AWS SageMaker.
sentiment-analysis-sagemaker
This repository contains code and associated files for deploying a sentiment analyzer using AWS SageMaker.
interactive-ontology-driven-app
Knowledge and Data Engineering Project
minard-dataset
Charles Joseph Minard's graphic depiction of the fate of Napoleon's Grand Army in the Russian campaign of 1815 has been called the "greatest statistical graphic ever drawn" (Tufte, 1983). Friendly (2002) describes some background for this graphic, and presented it as Minard's Chalenge: to reproduce it using modern statistical or graphic software, in a way that showed the elegance of some computer language to both describe and produce this graphic.
someaditya.github.io
Personal Website
tedtalks-hien-corpus
A Hindi English Parallel Corpus generator from TED Talks using Beautiful Soup
toxicity-classification
Identification and Classification of Toxic comments using Machine Learning
twitterclone
This is a clone of popular social network Twitter using Java stack which was developed during Pre-Joining Training at CSC Chennai.