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A proof-of-concept Markov model that uses machine-learning to enhance predictions for global disease spreading patterns
Using SVM Algorithms to Optimize Divorce Prediction Scales
Combating Forest Fires
A study on the relationship between gentrification and crime
Chevron Challenge
Predicting divorce using a weighted sum of data available on the UCI Machine Learning Database
Rice Datathon 2020 Project
Determine which US cities are most at risk of being Coronavirus positive based on international flight data
Exploring the data and discovering unique, interesting finds
This project uses data science to most accurately predict if a couple will get divorced or not based on a 54 question survey.
Data driven drilling!
An investigation into the underlying social issues relating to the lack of linguistic diversity in Harris County, and the proposal of solutions to
We used xgboost to predict ROP
Using Perceptron Learning Model to predict divorce based on answers from a questionnaire
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.
Use a random forest classifier to predict most threatening fires based on initial conditions.
Inside the mind of a student: in-depth course evaluation modeling and analytics
Classifying severity of fires
Analyzing pitch data and team statistics in order to understand the consequences of the Houston Astros and Boston Red Sox alleged cheating scandals.
Using the data Chevron provided, we aim to predict the Rate of Penetration given various features
Use Texas data to predict and map at-risk tracts for inadequate nutrition.
Understand what makes relationships work and fail through the power of data and machine learning.
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.
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.
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