How to transform categorical text variables into integers using Pandas
Land Your First Data Science Job
A proven roadmap to prepare for $75K+ entry-level data roles. Perfect for Data Scientist ready to level up their career.
This process is a way to transform your category into an integer that can be used as a reference in some kind of algorithm.
It is extremely useful when you want to feed this data into a machine learning algorithm. Because algorithms usually prefer numbers since it is easier to digest and comprehend.
Here is how to do it
More on DataFrames
If you want to know more about DataFrame and Pandas. Checkout the other articles I wrote on the topic, just here :
Land Your First Data Science Job
A proven roadmap to prepare for $75K+ entry-level data roles. Perfect for Data Scientist ready to level up their career.
Related Articles
Continue your learning journey with these related topics
Master Data Science in Days, Not Months 🚀
Skip the theoretical rabbit holes. Get practical data science skills delivered in bite-sized lessons – Approach used by real data scientist. Not bookworms. 📚