Spring into Data Science... with the Iris dataset!

This README.md file will serve as a roadmap to this repository. The repository is open and available to the public.

Directories and files to be aware of:

1. A notebooks/ directory that contains Jupyter notebooks:

   • A notebook that explores predicting petal length with linear regression (predicting_petal_length.ipynb)
   • A notebook exploring simple linear regression basics (simple_linear_regression_basics.ipynb)

2. A data/ directory containing one data file:

   • Due to GitHub upload restrictions, this is included as a .gitignore file. It is, in brief:
     • IRIS.csv
     • The data file described above can be found on Kaggle or from UCI's Machine Learning Laboratory (details on obtaining this data can be found in data/README.md).

Methodology: We create simple and multiple linear regression models with the Iris data.

Result: The functionality is used in the following blogs on Medium:

• Spring into Linear Regression (link here)
• Spring into Linear Regression--Part 2 (link here)