Alan-Kuan / NYCU-ML-Final-Project

My final project of Introduction to Machine Learning (DCP1241) in NYCU.

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

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.

About

My final project of Introduction to Machine Learning (DCP1241) in NYCU.


Languages

Language:Jupyter Notebook 81.5%Language:HTML 17.7%Language:Python 0.7%