ML Basics: Evaluation of Machine Learning Classifiers

Bias-Variance Analysis, Performance Metrics, and Implementation of a Harmonic Classifier

Requirements

• Python 3
• Numpy
• scikit-learn (needed only for sample data generation)

Running The Notebook

• Open the Notebook in Google Colab or local jupyter server
• Install the requirements
• Restart the kernel if necessary

The tutorial 📃

The full tutorial is available on following links:

On Medium:

https://azad-wolf.medium.com/evaluation-of-machine-learning-classifiers-3912e7f5cf74

On Substack:

https://azadwolf.substack.com/p/evaluation-of-machine-learning-classifiers

More Details in the Book Chapter 📃