Machine Learning Analytics Day 2017

Examples for data wrangling and modeling with R. See the Docs folder for presentation decks.

Data Wrangling

The ML_Data_Wrangling_Visualization directory contains examples for using the Tidyverse. Important concepts include:

• Data processing with dplyr
• Visualization with ggplot2
• R Markdown for reproducible research

Regression

The ML_Modeling directory contains examples of how to use R for data science using the census data. Important concepts include:

• Using R Notebooks to understand your data
• Building machine learning and linear models
• Communicating results with Shiny and flex dashboards

Machine Learning

The ML_Modeling directory also contains introductory examples of how to use these new R packages:

• sparklyr
• tensorflow
• keras