Oingo is a new mobile app named that allows users to share useful information via their mobile devices based on social, geographic, temporal, and keyword constraints. The main idea in oingo is that…

Premier League analysis of seasons 2006/2007 to 2017/2018

Removal of stains from noisy docs using image processing, machine learning, neural nets and autoencoder

San Francisco (SF) has a long history of pushing the envelope on progressive public health solutions, including medical cannabis and needle exchange, before either was legal or broadly embraced. It…

Formula1 Grand Prix data analysis with interactive dashboards for the historic data from 1950-2017

Open Data Profiling, Quality and Analysis on NYC OpenData dataset with semantic profiling using fuzzy ratio, Levenshtein distance and regex

Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the arti…

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Comparative study of Reinforcement Learning Algorithms on Ping Pong game: In the current design of experience replay we sample uniformly to obtain the minibatch and update the model. Devising a way…

Implementation of Lucas-Kanade and Horn-Schunck methods for optical flow

AidData's Core Research Release 3.1 is a corrected snapshot of AidData's entire project-level database from April 2016. This database includes commitment information for over 1.5 million developmen…

Removal of stains from documents by providing dirty and clean images as data-sets for the model to learn and the model would clean the test images by observing results from the training dataset usi…

Image denoising techniques in Computer Vision using Box, Gaussian and Median filter

Histogram equalization is a technique for adjusting image intensities to enhance contrast

Using LIME and Spark MLlib, validate sentiment analysis using two classes - Atheism and Christianity with spark data pipeline and calculating F1-score, accuracy and class probabilities

Using MapReduce and Spark to explore NYC Parking Violations

Computed truck mileage, driver risk factor using Hive and Pig to understand the risk the company is under from fatigue of drivers and over-used trucks and visualized the sensor data using Tableau t…

Applying machine learning algorithms on various datasets

Webber is a distributed twitter like application written in Go using Raft consensus algorithm for leader election, log replication, handle node failure mechanism. The application uses etcd Raft lib…

Twitter Feed Analysis over twitter data to find most influential people, time zones when majority of users are available and the most common hashtags used on Twitter using Hive

Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a…