Practicing Machine Learning Interview Questions in Python

Overview

Context of the Practicing Machine Learning Interview Questions in Python course at Data Camp

Have you ever wondered how to properly prepare for a Machine Learning Interview? Of course you have or you likely wouldn't be reading this right now! In this course, students will prepare to answer 15 common Machine Learning (ML) interview questions for a data scientist role in Python.

These questions will revolve around 7 important topics: data preprocessing, data visualization, supervised learning, unsupervised learning, model ensembling, model selection, and model evaluation.

The coding examples will be mainly based on the scikit-learn package given its ease-of-use and ability to cover the most important ML techniques in the Python language.