UCLA DataRes

By Nilay Shah, Colin Curtis (Colinpcurtis), Shail Mirpuri

In the world of deep learning, no matter how cutting edge your models may be, you don’t get very far without well understood and clean data. This fact is especially true in the realm of finance, where just 5 variables of a stock’s open, high, low, adjusted close, and trading volume are present in our dataset.

Within the first handful of graphs made, it is not hard to tell that these raw data values are insufficient for training a machine learning model. Highly correlated variables may at first sound promising, but the drawback of extremely high correlation coefficients is that not that much information is actually present. …

By Yupeng Chen, Sylvia Ma, Hana lim, Lu Cheng, Anish Dulla

I. Introduction

Our team’s analysis focused on comparing Uber and Lyft rides in Boston, MA for a sample set of 750,000 rideshares. We were inspired to pursue this challenge because of its relevance to us as college students, especially in Los Angeles. We often take Uber and Lyft rideshares to get around the huge city, and understanding how these pricing models work and vary by circumstances gives us a better feel of what rideshare service to use. Furthermore, what we’ve learned from this dataset will have great applications in real world problem-solving using data science and machine learning techniques. In our analysis, we predicted and compared the price of Uber and Lyft rideshares based on a variety of predictors such as distance, hour of the day, surge multiplier (demand-based pricing), etc. …

By Agrim Gupta, Darren Tsang, Nora Liu, Yuan Shen


Every developer, student, and everyone else who is required to write code and use certain software tools on their jobs knows they have the safety net of Stack Overflow to fall upon when they are ever stuck on a problem. The website serves as a platform for users to ask and answer questions. Through membership and active participation, it allows users to vote questions and answers up or down as well as edit questions and answers in ways much similar to wikis and other platforms used for QnA like Reddit. …

By Joe Fregault, Karina Santoso, Ashley Lu, Ishaan Shah

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Source: Clipart


Pitchfork, the most popular independent-focused online music publication, is best known for its music reviews. The site was started in 1995 as a blog primarily covering indie music and has expanded to cover all genres of music since then. Now, the site holds an extremely large audience, with more than 240,000 readers per day and over 1.5 million unique visitors per month and claims to be “the most trusted voice in music.”

Those who visit Pitchfork’s site and read their reviews are more or less likely to listen to a particular artist, album, or song based on what they read. Thus, the site’s reviews, both positive and negative, have been considered widely influential in making or breaking musicians’ career, as people who visited Pitchfork’s site and read their reviews were As a result, some view the site as a barometer of the independent music scene; however, Pitchfork has been seen as having a negative impact on the careers of some artists, and the site has been accused of being biased against certain genres. Claims have been made that Pitchfork favors lo-fi, indie rock, and other more obscure music genres, and that they intentionally write reviews with provocative and unconventional opinions for attention. …

By Rachel Li, William Huang, Charisse Hung, Aarushi Gupta, Charlotte Huang

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We’ve all heard it before. Live to be happy! Be happy and fulfilled! Find a job that makes you happy and you won’t work a day in your life. It’s as if happiness is the buzzword that just does not die. Yet, what really drives happiness? How can we improve our perception of happiness? How can we… find happiness? …

By Raymond Bai, Samantha Chung, Emily Hou, Amy Tang

Our team analyzed a dataset of over 378,000 Kickstarter campaigns to reveal new insights about what factors potentially contribute to success.

Since its creation in 2009, Kickstarter has provided a platform for creators to pitch their ideas and crowdsource funding to turn those ideas into reality.

One such creator is the company Pebble Technology. They launched the first version of their smartwatch in 2012, three years before the first-generation Apple Watch appeared in stores. The company has since been sold to another name you may recognize: Fitbit.

Perhaps you’re more familiar with taco cats, hairy potato cats, and the unmatched excitement of drawing a diffuse card from an opponent — all from the world of the popular card game Exploding Kittens. …

By Ivan Tran, Isha Shah, Kaushik Naresh, and Madison Kohls

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TikTok, the Chinese video-sharing app launched internationally in 2017, took the world by storm through its explosion in popularity in less than a year. It has managed to consistently stay at the top by garnering 2 billion downloads on the App Store and Google Play, as well as currently hosting over 800 million active users to date. Because of TikTok’s large user base and engaging 60 second or less videos, the platform has curated the perfect recipe for churning out new dance trends, lip sync songs, and “TikTok influencers.”

TikTok reaches all kinds of audiences with a variety of trending content, ranging from “being bored in the house” to “never seeing two pretty best friends”. But with over 100s of videos trending a day on the platform, what differentiates a trending video from a trending user? Additionally, what patterns can we notice in the top TikTok influencers in terms of their content and demographics? TikTok has been raved as a source of expression for many, but the app has also been criticized for instigating acts of exclusion such as censoring creators of color. Understanding the demographics of the top performers on TikTok can give a good sense of what a “top TikToker” looks like. …

By Deepthi Gangiredla, Deana Moghaddas, Ovie Soman, Trina Nguyen, Zoeb Jamal

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In today’s world, music helps fuel our daily lives and stimulate our mind. There are certain artists and songs that we know we cannot get through the day without listening to, but have you ever wondered what stylistic components of these songs make them so popular? As defined by Spotify, each song has a varying amount of acousticness, danceability, energy, duration, instrumentalness, valence, popularity, tempo, liveness, loudness, and speechiness. As a group, we decided to explore 160K Spotify tracks dataset available on Kaggle to see if we could observe any correlation between these individual factors and the popularity of a song. …

By Adhvaith Vijay (Project Lead), Danielle Goldwirth, Tara Jaigopal, Jaclyn Chiu, Angelina Kim

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Embers engulf a hill behind the Bidwell Bar Bridge | September 9, 2020

A Brief Overview

Over the last few decades, more and more evidence has led us to conclude climate change is wreaking havoc on our environment. However, like many phenomena, this change is gradual and often it is difficult to see the impact of climate change on our day-to-day lives. Wildfires serve as warnings that the impact of climate change is both severe and, for many Californians, very close to home. …

We had an AI teach humans not to gamble.

By Francesco Colonnese @fcolo_, Andrei Rekesh @AndreiRekesh

The problem

Reinforcement learning is one of the most intriguing fields of deep learning at the moment, and it deals primarily with AI “agents” learning to choose from a finite list of actions to take in some relevant environment to maximize some sort of reward.

Examples of agents, actions, and environments can include characters in a video game level choosing from a set of moves to take, and the resultant reward can be defined by whether or not a character has died (negative reward) or progressed within the level (positive reward).

As you can imagine, these situations can become nearly infinitely complex, which would require much computing power and thought to develop a framework by which to assign actions and positive and negative reward. …

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