Abstract
The Scikit-learn package is a popular machine-learning library in Python that provides tools for data preprocessing, feature selection, and evaluation of models. However, learning it can be hard for beginners due to its vast documentation. The goal of this chapter is to search for ways to use ChatGPT to learn the Scikit-learn package. ChatGPT’s first version was used (2023). Using ChatGPT to learn Scikit-learn can help users to understand the key techniques of machine learning.
Introduction
The Scikit-learn package is a Python library for machine-learning tasks (Pedregosa et al., 2011). The Scikit-learn package offers a wide range of machine-learning tasks that can be performed. Within the Scikit-learn package, there are algorithms available that can detect anomalous patterns or outliers in data, facilitating applications such as fraud detection.
We explore the use of ChatGPT to learn the Scikit-learn package. We demonstrate how ChatGPT can be trained on the Scikit-learn documentation.
Our chapter shows that ChatGPT can effectively learn and understand the Scikit-learn package, and provide assistance to users in various machine-learning tasks.
Methods
We conducted a search using keywords related to the Python package sci-kit learn. The initial version of ChatGPT, which was utilized in 2023, provided relevant information about the sci-kit learn package in response to the first two questions, question five and eleven. The remaining questions aimed to assess the chatbot’s ability to generate code related to scikit learn. In total, there are 23 questions accompanied by their respective answers.
