Cimmaron 's repositories
Amazon-Sale-Prediction
Using non-linear Support Vector Machine (SVM) and random forest modelling, this report will attempt to predict the outcome of sale, based on the combinations of the predictor variables for each Amazon.ca browsing session.
Cimm-Yeoman
Config files for my GitHub profile.
Daily-Ozone
This report will attempt to predict the daily ozone level, our response, with a multiple regression Bayesian framework. A smoothing spline will be implemented to help make predictions and identify patterns in the data set.
Divorce-Prediction
The goal of this report was to identify which variable best predicts divorce using decision trees and other ensemble methods. In the data set, Class is the response variable, with 0 = still married and 1 = divorced.
Soil-Erosion-Rainfall
This data set includes 200 observations of rainfall and soil erosion measurements (mm) recorded 48 hours later. This report will assess the relationship between soil erosion and rainfall, and predict soil erosion from with a linear regression.
Triceps-and-Cancer
Smoothing splines predict tricep skinfold thickness and lasso regression identifies relevant predictor variables in mean cancer mortalities per capita.