ML-algorithms-for-Iris-classification

For this project I played around with and trained 2 machine learning algorithms: K nearest Neighbors classifier and decision tree classifier to see which would classify the iris data set more accurately. I experimented with splitting the data into different train and test sizes as well as the parameters of nearest neighbor.

To use this program:

1. I would recommend to use the code on Jupiter notebooks as that is where I originally programmed it.
2. Make sure you can use sklearn and joblib