smithjph's repositories
College-Debt---Model-Selection
Clean data, build multiple models, and select the best.
data
Data and code behind the articles and graphics at FiveThirtyEight
datasharing
The Leek group guide to data sharing
Flesch-Kincaid-Reading-Ease-for-Texts
Determines the reading difficulty of texts using the Flesch Kincaid Reading Ease formula
House-Prices-Machine-Learning
My entries for the Kaggle competition House Prices: Advanced Regression Techniques
Kaggle-Beehive-Analysis
Investigate a time series of flow of a sensor-equipped beehive.
Kaggle-Wine-Reviews
Predicting wine review scores from a Kaggle dataset using SAS
monte-carlo-linear-model
Runs Monte Carlo simulations for a linear model
Monte-Carlo-Pi-Estimation
Use Monte Carlo methods to approximate the value of pi. Based on work from Cameron Yick. (https://observablehq.com/@hydrosquall/reactive-monte-carlo-pi-approximation-explorable-explana)
packageTest
Installs required packages in R
Predicting-Weekly-Sales
Predicting weekly sales for Walmart using simple linear regression. Data from Kaggle. Programmed in SAS.
smithjph.github.io
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