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TAMU Datathon 2020

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  • Overview
  • Participants (357)
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Connect with the participants – support your favorite projects by liking, sharing, and commenting on them.

Filter submissions

Sponsor Prizes
Finding Optimal Housing Locations
Finding Optimal Housing Locations

We analyzed factors that determine how liveable and popular a certain city is and looked at how they correlate with each other.

Alex Levine Patrick Quinn Annemarie Hoffzimmer Sabyasachi Gupta
0 0
DataThon 2020 City Search Tool (Beginner)
DataThon 2020 City Search Tool (Beginner)

Choose the best city with us

Sukanya R John Wei Jung Hoon Seo Sukanya Rammohan
4 0
Dream City Finder
Dream City Finder

Find the city of your dreams now that you can stay anywhere working remote!

Seethalakshmi Senthilnathan LidSu3 Su Tanya Kejriwal Arturo Villalobos
1 0
US City Search
US City Search

A method to search over 200 US cities that you might want to live in that focuses on functionality.

Paul Lee Richard Wang
0 0
Find My Home
Find My Home

A simple way to find a place just for you

Akshay Kamalapuram Sridhar Rakesh chinta Suma Mahavadi Sriharsha Tumma
1 0
PPE Equity
PPE Equity

An analysis of PPE distribution to visualize inequities.

Siddharth Nair Anish S  Ganti Emmanuel Nyatefe
0 0
Credit Analysis using Decision Trees and RF
Credit Analysis using Decision Trees and RF

Finding the defaulters for LendingClub

Siddharth Tripathi Aashkaben Kalpesh Patel Aashka Patel
0 0
City Search Tool (TD 2020)
City Search Tool (TD 2020)

A tool to help recent college graduates move to an ideal location in times of the coronavirus.

Caroline Kostrzewa Lori Kolaczkowski
0 0
City Search Tool
City Search Tool

If you need to find where to go, use this tool to find what to know.

Charles Tran Elizabeth Liu Rishabh Prasad Jack B
0 0
city-search-tool
city-search-tool

This is our project for TAMU Datathon 2020

Chen Bo Clavin Zhang Giovanni Sorice lorenzocollodi CBrugo Brugo
4 0
LSTM to predict stock price and judge decisions
LSTM to predict stock price and judge decisions

Using LSTM to predict stock price and guide decision making

Kevin Yao Charles Im Apsara Mitra Miguel Gutierrez
4 0
Mood Swings
Mood Swings

The secret to know what others are feeling!

Carlos Gustavo Salas Flores Himanshi kalra
0 0
Texas' Hidden Talent
Texas' Hidden Talent

Where are students' opportunities for success the highest?

Michaela Matocha Nathan Mandell
0 1
Walmart Product Search Engine
Walmart Product Search Engine

Get what you fetch!

Rizu Jain Shubham Sanghavi Venkata Prajwal Bobba Devi Sandeep Endluri
0 0
Aggie City Matcher
Aggie City Matcher

Take the survey and find the city that matches you!

Capaldini Capaldini Tim Chen Matthew Wiese Ai Zhong
0 1
An Unsafe America
An Unsafe America

Where's police brutality at its worst? Where is it most unsafe for a Black, Hispanic, or other minority family to live because of the police? These questions are answered in "An Unsafe America."

Kevin Buck
0 0
City Search Tool
City Search Tool

An interactive search tool to explore cities around the world and cluster cities with similar features in same category.

Saksham Agrawal Pooja Phadke Gaurav Rai
0 0
Waloogle
Waloogle

Search Engine for Walmart

Daniel Geisz Trevor Bolton
0 0
Walmart Challenge
Walmart Challenge

Crawl the webpage, then utilize ML techniques to optimize the search engine.

Thu Nguyen Ha Pham
0 0
20Data20
20Data20

K-Means Clustering on Walmart Data

Haoning Wang Mannan Mendiratta Garey Salinas
1 0
Search city tool
Search city tool

A search city tool for choosing the best living cities.

Rong Xu Linjian Yang Yuezhou Kang
4 0
The Global Aggie City Recommender
The Global Aggie City Recommender

A simple tool to help Aggies find which cities they want to live and work in.

Rishi Phatak
0 0
City Search Tool
City Search Tool

A tool which allows the user to find the best city to live in, either domestically or abroad, by answering a series of survey questions

sohan badade Ryan Block Ashley Rhodes kildareramos
0 0
CitySearchPro
CitySearchPro

We are novices in python

Keyna Barahona
0 0

25 – 48 of 80

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