Iris Classifier

note: Dataset is not hosted in repo. You must link if you'd like to run yourself.

About:

This project / case study is for phase 1 of my 100 days of machine learning code challenge.

This is a homework solution to a section in Machine Learning Classification Bootcamp in Python.

Problem Statement:

Predict Species of Iris given 4 feature measurments

• Sepal Length (cm)
• Sepal Width (cm)
• Petal Length (cm)
• Petal Width (cm)

Technology used:

Model(s):

• k-nearest neighbors (knn)

Dataset(s):

• The famous Iris dataset

Libraries:

• Scikit Learn
• Pandas
• matplotlib

• seaborn

Resources:

• Scikit Learn knn classification

Contact:

If for any reason you would like to contact me please do so at the following:

• sageelliott.com
• hello@sageelliott.com
• twitter
• linkedin