Planetary science, as with all the physical sciences, use statistics and machine learning methods to convert data into science; i.e., data, when properly analyzed, provide information that contributes to answering research questions.
There are four top-level taxonomic structures in statistics and machine learning modeling. They are:
- Extract, Transform, Load (ETL)
- Exploratory Data Analysis (EDA)
- Supervised Learning
- Unsupervised Learning
The examples of the methods presented in this tutorial are in either R (https://cran.r-project.org/), Python 3 (https://www.python.org/downloads/), or both. The data used in the examples can be either downloaded from this tutorial or links will be provided.