This lab aims to get you up and running with the software packages we’ll be using for this course’s lab.
You will need to install some software to run this lab. After doing these steps, you shouldn’t need to install any software for the rest of the course! (Unless you want to, of course…)
- Python 3. In a terminal window, try typing
python3 --version. If it reads some number > 3, you are good to go! If not, install Python3.6 for your platform. - Jupyter notebooks. You can download the notebook installer here.
- XGBoost. You can follow the setup instructions on the XGBoost documentation.
- sklearn and pandas. If you installed Python with Anaconda, you should already have these libraries. If not, you should be able to simply
pip3 install sklearn pandas.
Simply open the Jupyter notebook in this repo and complete the instructions!