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BASE Power Key Metrics Dashboard
showcasing three key metrics that align with Base's goals and stage of growth.
PKNCA PHAR7383 Assignment Wk1 01-20-25 Draft
Phar7383 PKNCA Assignment week 1 - Draft;
Results are complete - Need to clean up the commented code
9_Correlations
oregon extension project
STAT 220 Portfolio Project 1 Write-up
In this project, I evaluated, recreated, and improved a scatterplot from FiveThirtyEight using the "pulitzer" dataset.
Making Euchre Bids With Machine Learning
This document goes into detail about how multiclass machine learning algorithms can be used to determine if a suit should be bid on (or not) in a Euchre round, and to determine what factors contribute to a good hand.
Diabetes Prediction Analysis using Machine Learning Approach in R
The project, Diabetes Prediction Analysis Using Machine Learning in R, utilized the Pima Indians Diabetes dataset from Kaggle. This dataset consists of 765 rows and 9 features: pregnancies, glucose levels, blood pressure, skin thickness, insulin levels, BMI, diabetes pedigree function, age, and the outcome variable indicating diabetes presence. The goal was to evaluate and compare the performance of various machine learning models for diabetes prediction and identify key predictive features.