# 1. Class September 8, 2022 (Lab session)

First steps:

* Read the data;
* Separate oberservations from *targets* (wtf does this mean); (I think he just means the indep. vars. and the dep. var)
* Split the data in two: **training** and **testing** sets.

The first thing we are going to do with this dataset is to split it between a traning and testing sets. This will allow us to fit the model and also avoid overfitting.

# 1. Loading data

1. Read data (from file, database)
2. Separate observations from *targets*
3. Divide data into two sets: **training** and **test**