SM Sep 2022
Just a few notes in case you never used python before:

1. Go to python.org
2. Go to downloads, find the installer for Python 3.8
3. Install python. If you see the option (remove length limit for PATH), choose it
4. Open cmd.exe
5. pip install tensorflow
6. pip install numpy
7. pip install pandas
8. pip install sklearn
9. pip install matplotlib
10. put all these zipped files into a folder
11. Open Idle shell (from start)
12. File > Open the preferred_program.py
13. F5 to run. Check out preferred.csv when done.

14. (optional) If you get an error for missing any libraries when you run it, just do a "pip install xxx" as we did above, then try again.

At the time of writing, the best version of Python to have will be 3.8, because it will not install a version of Numpy that is too new for Tensorflow.

Try some of your own data! If you have a list with 4 categorical variables and one 1 or 0 field to target, just change the imported file name, field names etc. in the script. If it works, you just built your first AI program! It may or not be accurate, depending on how your four feature fields actually are related to the outcome of your 0 or 1 field.

