AWS SageMaker Lab 3.3 | Mastering Categorical Variable Encoding
Автор: Mehmet Akif Köz
Загружено: 2024-03-13
Просмотров: 340
Описание:
🔍 Lab Overview:
In this lab, we encoded categorical variables. We used the automobile dataset from the UC Irvine Machine Learning Repository. This dataset works well because it contains many categorical features.
📊 Dataset Link: Automobile Dataset
https://archive.ics.uci.edu/dataset/1...
🎯 Objectives:
In this lab, we will:
• Encode ordinal categorical data
• Encode non-ordinal categorical data
🛠️ Prerequisites
This lab requires:
• Access to a notebook computer with Wi-Fi and Microsoft Windows, macOS, or Linux (Ubuntu, SUSE, or Red Hat)
• For Microsoft Windows users: Administrator access to the computer
• An internet browser such as Chrome, Firefox, or IE9 (previous versions of Internet Explorer are not supported)
🕒 Duration:
Set aside about 30 minutes for this lab. But hey, take your time – the lab environment will stick around for 120 minutes, just in case you want to explore a little deeper.
Ready to crack the code of categorical variable encoding? Let's dive into Lab 3.3 of AWS SageMaker together! 💡🔢✨
#AWS #AmazonSageMaker #CategoricalVariables #Encoding #MachineLearning #DataScience #AWSAcademy #NewbieInTech
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