NYCU-ML-Final-Project

This is my final project in the course, Introduction to Machine Learning in NYCU.

I retrieved the data about near earth objects from the open data of NASA with its API. Later, I tried to predict whether one of them is potentially hazardous.

If you're interested, you can see my source codes and report for more details.

How the data generated?

1. Make a directory named data/.
2. Get an API key from the NASA APIs.
3. Fill the key in fetch.py and run it.
4. Run transform.py and neo.csv is generated.