Welcome to the MAST30034 R Repo

This repository will house all R workshops.

The python stream is available here.

Dates and Times

On Campus:

Online:

The first few tutorials will have content, with the remainder of the semester treated as consultations or additional tutorials as outlined:

Introduction and Project 1 Overview:
- Using the JupyterHub server
- Using GitHub Desktop vs Git CLI (Command Line Interface)
- Project 1 Overview
- R Revision
- Data Serialization
- Downloading Files using R
- Advanced: spark Installation
Geospatial Visualization and Analysis:
- HexBins (vs SquareBins), Choropleths.
- Descriptive statistics
- Advanced: sparklyr data analysis
Regression and Discussion:
- Linear Regression
- MSE vs R-Squared
- Penalized Regression (LASSO and Ridge)
- Generalized Linear Model example (Poisson for count data)
- Advanced: sparklyr modeling
Machine Learning and Working as a Team:
- Discussion: Overfitting, Curse of Dimensionality, Feature Engineering, etc.
- Dimensionality Reduction
- Agile Methodology + Standups
Project 2 Overview
- Introduction of themes
- Getting into teams
- Assessment Overview

Attendance is mandatory. Groups are excused one absence only.
The last 2 weeks of tutorials will be Presentations, all groups must attend a designated tutorial.
The remainder of tutorials will act as checkpoints, consultation, and a chance for your group to conduct standups at a fixed time slot.

Statistical Modeling / Machine Learning:

Data Engineering / End-to-End Pipelines:

Visualizations:

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