Overfitting and Underfitting principles

Understand basic principles of underfitting and overfitting and why you should use particular techniques to deal with them.

Article

You can read detailed article on Towards Data Science.

Jupyter Notebooks

See Jupiter notebooks, that contain all examples from article:

• bias_variance.ipynb, which contains Python code to plot bias-variance plots from article
• underfitting_vs_overfitting.ipynb, which contains all other materials

Open them with Jupyter or see directly in a browser.

Setup

To run this code, you must have numpy, sklearn, matplotlib and seaborn libraries installed.

You should create virtual environment, activate it and run pip install -r requirements.txt or run following command:

pip install numpy scikit-learn matplotlib seaborn