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Chris's Projects

ameshousing icon ameshousing

Dip into the famous Ames, IA housing data. Includes modeling and EDA.

candycrush icon candycrush

The following project was completed using a Jupyter notebook to explore a dataset from the game Candy Crush. It was completed with a tutorial on the DataCamp website. It looks at a breakdown of wins by level for multiple users and the probability of wins. The notebook primarily uses basic statistic principles and the tidyverse packages (dplyr, ggplot2, etc.).

capstone icon capstone

Capstone project for Predictive Analytics Masters program. Predicting water well functionality in Tanzania.

machinelearning icon machinelearning

Final for my Machine Learning class. Uses LDA, SVM, linear model, bagging, boosting, tree, random forest and best subset selection models for predicting whether someone will donate and how much they will donate.

marketing icon marketing

An overview of clustering, MCMC, Hierarchical Bayes Multinomial Logit, and logistic and random forest models for predicting mailing campaigns.

thinkbayes2 icon thinkbayes2

Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.

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