Jee-Hun, Choi and Tak Yeon, Lee, AEL, KAIST / Source : 🤖 Machine Learning Tutorial repository
The goal of this tutorial is to make it easy and convenient for beginners to learn machine learning. Beginners here mean those who are not computer science majors or who have little knowledge of artificial intelligence.
In this tutorial, we will explore the mechanism of machine learning by going through each step of the machine learning process. We will be using the Palmer Penguins dataset, which is emerging as an alternative to the traditional Iris dataset. The Iris dataset is very widely used in the data science community for various purposes and became a symbolic dataset in machine learning. However, due to the eugenicist past of the publisher, it is now excluded by the community. We are using an excellent alternative dataset, Palmer Penguins, which is also available on Kaggle.
The data was collected by Dr. Kristen Gorman and the Palmer Station and was packaged by, thanks, Allison Horst. The steps, laid out in the following content, are based on the framework of Yufeng Guo, a developer of Google.
See the following contents in the machine-learning-tutorial.ipynb file.
You could also read the content in the below link for better readability.
Link : https://nbviewer.jupyter.org/gist/imYourChoi/d4d28e76b44b58b27b5a7a9d74b76008