CSE 255 Assignment 2 Cuisine Prediction/Classification based on ingredients

CSE 255 Assignment 1 : Movie Rating Prediction using the MovieLens dataset

Determining the Type of Cuisine based off a food’s ingredients

For assignment 2, I decided to analyze one of the datasets provided by Yummly for a Kaggle competition. The dataset provided 39k training points and 10k test set. The goal of this project is to see if we can predict the type of cuisine the food is based solely off its ingredients.

CSE 255: Assignment 1 - Exploring Musical Tagging

We explore two predictive tasks: (i) a measure of tag probability, and (ii) identifying a minimum tag set for more meaningful music classification on a 100,000 song dataset joined across complementary databases from the 1 Million Song Dataset (“MSD”). We conclude that a tag set size of around 50 tags is most meaningful and report many of our findings/analysis based on the top 50 tags. Using lin...

CSE 255 Assignment 2 : Upvotes Prediction for Reddit Submissions

In this paper we consider models for predicting the number of upvotes on a reddit submission. We examine features such as the number of votes, number of comments, time of submission, upvote history of users, images, and subreddits of the submission. We compare Support Vector Regression, Linear Regression, and Gradient Boosting Regression models for predicting the number of upvotes.

CSE 255 Assignment 9

In this paper we train a logistic regression function for two forms of link prediction among a set of 244 suspected terrorists in a social network. We train and test on a dataset created at the University of Maryland and further modified at UCSD by Eric Doi and Ke Tang [2]. The supposed terrorists have several labels for the nature of their links to other supposed terrorists; terrorists are cla...