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Rice Datathon 2020

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  • Overview
  • Participants (71)
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Connect with the participants – support your favorite projects by liking, sharing, and commenting on them.
Learned Markov Infectious Disease Model
Learned Markov Infectious Disease Model

A proof-of-concept Markov model that uses machine-learning to enhance predictions for global disease spreading patterns

26XINXIN Yang Zhihan Lu
0 0
Using SVM Algorithms to Optimize Divorce Prediction Scales
Using SVM Algorithms to Optimize Divorce Prediction Scales

Using SVM Algorithms to Optimize Divorce Prediction Scales

Adam Zawierucha nicolascrossi
0 0
CombatingForestFires
CombatingForestFires

Combating Forest Fires

Kyran Adams
0 0
Gentrime
Gentrime

A study on the relationship between gentrification and crime

Jason Hwang
0 0
Mathematical Statistics Approach for Chevron Challenge
Mathematical Statistics Approach for Chevron Challenge

Chevron Challenge

Steven  Feng
0 0
Divorce Prediction Index (DPI)
Divorce Prediction Index (DPI)

Predicting divorce using a weighted sum of data available on the UCI Machine Learning Database

Michael Tang huangkellyb Hsing-Yng Louh Ryan Draper + 1
0 0
Divorce-Prediction
Divorce-Prediction

Rice Datathon 2020 Project

bHoepfl Hoepfl
0 0
Risk and Spread of Wuhan Coronavirus
Risk and Spread of Wuhan Coronavirus

Determine which US cities are most at risk of being Coronavirus positive based on international flight data

Daniyar Akizhanov A-hushower
0 0
Surface Look Into Forest Fires
Surface Look Into Forest Fires

Exploring the data and discovering unique, interesting finds

Karen Yuan
0 0
Principal Indicators of Divorce
Principal Indicators of Divorce

This project uses data science to most accurately predict if a couple will get divorced or not based on a 54 question survey.

anthonybagamian Bagamian Matthew Brun Alex Li clee1060 Lee
4 0
datathon
datathon

Data driven drilling!

Julia Coyner
0 0
Linguistic Diversity in Harris County School Systems
Linguistic Diversity in Harris County School Systems

An investigation into the underlying social issues relating to the lack of linguistic diversity in Harris County, and the proposal of solutions to

Andrew Lee Sarah Han Elliot Fang Dhilan Lahoti + 1
4 0
Chevron Challenge
Chevron Challenge

We used xgboost to predict ROP

Chris McCarthy
0 0
Rice-Datathon
Rice-Datathon

Using Perceptron Learning Model to predict divorce based on answers from a questionnaire

LiYueqian-James Li
0 0
Defining Destiny:  Delineation of Divorce Data
Defining Destiny: Delineation of Divorce Data

Have you ever wanted marriage counseling but it's too expensive? Don't worry, others have already gone through that for you. We used divorce data taken by 170 spouses to measure marriage viability.

Brandon Khek Fadil Eledath eliotsolomon18 Aman Shanbhag
0 0
Random Forest Fires
Random Forest Fires

Use a random forest classifier to predict most threatening fires based on initial conditions.

Muthu Chidambaram Melinda Ding Jason Gardner
2 0
Course Evaluation Analytics [Placed 1st, Rice Datathon]
Course Evaluation Analytics [Placed 1st, Rice Datathon]

Inside the mind of a student: in-depth course evaluation modeling and analytics

Michael Sprintson Andrew Feng Timothy Goh colinbking King + 1
5 0
Forest Fire Severity
Forest Fire Severity

Classifying severity of fires

Nicole Tan zmoxley Moxley tuckduck
0 0
A Sabermetrical Approach to Cheating in the MLB
A Sabermetrical Approach to Cheating in the MLB

Analyzing pitch data and team statistics in order to understand the consequences of the Houston Astros and Boston Red Sox alleged cheating scandals.

hmcreamer Creamer Yong Shin robertjw3 Walsh
0 0
Chevron ROP Prediction
Chevron ROP Prediction

Using the data Chevron provided, we aim to predict the Rate of Penetration given various features

Anirudh Kuchibhatla Kunal Rai pjchickey Joshua Kowal + 1
2 0
Houston Deserted
Houston Deserted

Use Texas data to predict and map at-risk tracts for inadequate nutrition.

adriennehl Li Thomas Yeum Angela Zhang Megan Xiao
0 0
Analysis of Divorce Using ANN and Logistic Regression
Analysis of Divorce Using ANN and Logistic Regression

Understand what makes relationships work and fail through the power of data and machine learning.

Ryan Knightly billqian06
0 0
ChevPred
ChevPred

We use historic drilling data to build a model that predicts the rate of penetration conditional on controllable drilling parameters and parameters that are known before the drilling process begins.

Namanh Kapur Kyle Manning Alex Yang Daniel Tang + 1
0 0
Predicting Divorce using Artificial Neural Networks
Predicting Divorce using Artificial Neural Networks

Predict the likelihood of a divorce from a questionnaire dataset and to determine key factors that cuase a divorce. In this way, we are able to help struggling coulpes.

bz22 Zhang ixxan Yierpan
0 0

1 – 24 of 24

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