Phar7383 PKNCA Assignment week 1 - Draft; Results are complete - Need to clean up the commented code

oregon extension project

In this project, I evaluated, recreated, and improved a scatterplot from FiveThirtyEight using the "pulitzer" dataset.

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.

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.

Recreating and improving a FiveThirtyEight Graph using techniques from Intro to Data Science

Process for splitting single column into multiple using a delimiter and parsing out non-numeric character values from resulting columns