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TAMU Datathon 2019

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MLH Hardware Lab
MLH Software Lab
1) Road approximator, 2) Predictive Equipment Failures
1) Road approximator, 2) Predictive Equipment Failures

Approximate the shortest path between two points along a graph network for large sparse graphs

Winner Winner
Prakhar Mohan Sukanto Guha Shubham Sanghavi dhruvsandut Sandesara
1 0
Conocco Phillips challenge - Team Friyay
Conocco Phillips challenge - Team Friyay

Using Explainable AI to show feature importance on a global level

Winner Winner
Sanjeev Narayanan
0 0
ConocoPhillips Datathon2019
ConocoPhillips Datathon2019

Using a classifier to determine the failures within the system

Winner Winner
Cameron Lopez Pranika Madhavan Sri Varanasi
0 0
ProjectAggie
ProjectAggie

The story of Majors, GPA's, and Salaries

Winner Winner
Kai Gomes Raziq Zaman Evelio Sosa James Carroll-Linden
0 0
RRR - Regression Raccoon Restaurants
RRR - Regression Raccoon Restaurants

Unbiased, unsupervised classification and ranking for tacos by treating all restaurants equally, giving small businesses better exposure.

Winner Winner
Evan Meade Olusola Joshua  Babatunde Victoria Catlett
1 0
Equip
Equip

Predicting equipment failures based on sensor data.

Winner Winner
Ujjaini Das
2 0
Walmart Best Path
Walmart Best Path

This project takes a Walmart map, traffic heat map, and various deal locations as inputs and outputs an efficient path to reach all deals

Winner Winner
ScottCSteinhauser Steinhauser Ian Matson Zach Summers Alex Labbane
1 0
tacovision
tacovision

A data analysis tool for small business owners to gain insight on competitors who sell tacos/burritos

Winner Winner
Robert Kim doj0985 Kihwan  Lee Eric Ma
0 0
AkitaAgenda
AkitaAgenda

A virtual manager

Winner Winner
Ben Taylor Manasi Ramadurgum
2 0
Predictive Equipment Failures - SP
Predictive Equipment Failures - SP

We are trying to build a classifier mode to predict down hole failures based on sensor information

Pooja Chourey Sai Shiva Ganesan
0 0
Conoco_philips
Conoco_philips

Predicting failures using sensor data

Richa Rawat Tapan Ganatma Nakkina Elina S
1 0
TAMU-datathon-2019
TAMU-datathon-2019

Multi-algorithmic approach to classifying in an imbalanced dataset

isaacdec Josh Cherian jacobericson Ericson
0 0
Datathon - Goldman Sachs Challenge
Datathon - Goldman Sachs Challenge

Strategic decisions for opening up a new restaurant

Vedant Mehta Ashish Jatav Sayeed Alvi Shirish Pandagare
0 0
There's Waldo
There's Waldo

Wowzers! We found Waldo!

Shivashriganesh Mahato pannyandrew Pan
0 0
ConocoPhillips Challenge Team Elda, Erick, Moises, Chris
ConocoPhillips Challenge Team Elda, Erick, Moises, Chris

This repo holds our challenge code for the ConocoPhillips Challenge

Moises Nunez EN CP
0 0
Analysing Taco & Burrito resturants
Analysing Taco & Burrito resturants

Which area should new business target for opening tacos / burrito resturants

Ammar Shaikh
0 0
Restaurant Data Try
Restaurant Data Try

We tried to get as far as we could on the Restaurant data during the datathon, but ran into so many debugging problems. We're still at the debugging stage before answering questions fully.

Tony Mulenga
0 0
VeggieTB
VeggieTB

Data science analysis of the number of vegetarian Taco and Burrito options available across the United States: Made for TAMU Datathon 2019

Ansh Jain
1 0
Prediction of properties of chemical compounds
Prediction of properties of chemical compounds

Our idea was to build a supervised learning model that could predict any numerical properties of chemical compounds using other known features of the compound, to prevent expensive lab activities.

Michael Ajibola Ricardo Landaeta Vivian Vo
0 0
WALMART PROJECT
WALMART PROJECT

Walmart prediction by a bunch of disillusioned learners.

Mamoon Masud
1 0
Competitor1
Competitor1

A Datathon project

Rohan Agrawal
0 0
Desperate Adelia( desperate to be a competitor) and Girls
Desperate Adelia( desperate to be a competitor) and Girls

Trying to see the concentration of tacos or burritos

Adelia Manuel Tasha Jay Temi Adelaja Marisa Ortiz
0 0
Deep Money
Deep Money

The Deep Money Model determines recommendations to buy, sell, or hold volatile stocks to make big gains quickly while avoiding big losses.

Erin Sylve Seth Hamilton Lucas Robirds William Pinon
3 0
Walmart challenge - TSP
Walmart challenge - TSP

Built algorithms like Random Walk, BFS, and Value Iteration for solving the TSP variation

Sarwesh Krishnan
0 0

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