Amazon Fashion Recommender Used Amazon Product Advertising API to gather data locally and used those files for Recommendation
Used Two Approaches Natural Language Processing on Product Description Convolutional Neural Network on Product Images Look at the Notebooks for more details
Personalized Medicine Redefining Cancer Treatment A lot has been said during the past several years about how precision medicine and, more concretely, how genetic testing is going to disrupt the way diseases like cancer are treated.
Social network Graph Link Prediction - Facebook Challenge Problem statement: Given a directed social graph, have to predict missing links to recommend users (Link Prediction in graph)
Data Overview Taken data from facebook’s recruting challenge on kaggle https://www.
Problem Description: Clickthrough rate (CTR) __ is a ratio showing how often people who see your ad end up clicking it. Clickthrough rate (CTR) can be used to gauge how well your keywords and ads are performing.
Microsoft Malware Detection Problem Statement: In the past few years, the malware industry has grown very rapidly that, the syndicates invest heavily in technologies to evade traditional protection, forcing the anti-malware groups/communities to build more robust softwares to detect and terminate these attacks.
Problem Description Netflix is all about connecting people to the movies they love. To help customers find those movies, they developed world-class movie recommendation system: CinematchSM. Its job is to predict whether someone will enjoy a movie based on how much they liked or disliked other movies.
Quora Question Pair Similarity Quora is a place to gain and share knowledge—about anything. It’s a platform to ask questions and connect with people who contribute unique insights and quality answers.
Stack Overflow - Tag Prediction Description Stack Overflow is the largest, most trusted online community for developers to learn, share their programming knowledge, and build their careers.
Stack Overflow is something which every programmer use one way or another.
Taxi Demand Prediction Data Information Ge the data from : http://www.nyc.gov/html/tlc/html/about/trip_record_data.shtml (2016 data) The data used in the attached datasets were collected and provided to the NYC Taxi and Limousine Commission (TLC)