Here is a draft of my project progress

This draft is a synthesis of everyone's work done by PK with the addition of Appendix 3 with updated MARS models giving modest performance gains

This is my attempt and collinearity evaluation and feature selection. At the end I create some MARS models to capture some of the nonlinear features of the data. The data evaluation at the top belongs to Deepa Sharma a member of my group.

This HW is using tree based methods for regression. The fact that the randomForest package doesn't have a function to plot a tree is insane.

In this homework is looking at implementing non-linear regression models

This homework assignment involves applying linear regression models (and cousins) to datasets with large numbers of predictors compared to the number of rows of data

In this project, I perform some ETS forecasting for some data sets provided. The data requires some fixing of outlier and missing values. The models selected by the model function may not be the models that best fit the data.

Intro to ARIMA models

This assignment is comparing different types of exponential smoothing

This assignment involves resolving skewness and outliers and dealing with missing values

This assignment is an introduction to simple modeling techniques and accuracy measures

This homework in an introduction into time series decomposition

This assignment is an introduction to plotting time series data

In this assignment I'm using Random Forest and SVM to predict surgical complications from patient demographics.

In this assignment, I continued the work done in HW2 where I evaluated the performance of Random Forest by applying SVM to the same dataset.

This homework is an exploration of the performance of Decision Trees and Random Forest on a classification problem.

This a homework assignment where I was asked to take two datasets of different size (small/large) and apply 2 ML algorithms to them and see what I find.

Exploration of HTML, JSON and XML files

This is a data wrangling project where a text file is converted into a usable matrix format.