Encoding Ordinal Categorical Data: Teaching Machine Learning the Meaning Behind Rankings
📰 Medium · Data Science
Learn to encode ordinal categorical data to teach machine learning models the meaning behind rankings and improve model performance
Action Steps
- Identify ordinal categorical variables in your dataset
- Choose an encoding technique such as label encoding or ordinal encoding
- Apply the chosen encoding technique to the ordinal categorical variables
- Compare the performance of your model with and without encoding
- Fine-tune your encoding technique based on the results
Who Needs to Know This
Data scientists and machine learning engineers can benefit from this knowledge to improve the accuracy of their models, especially when working with ranked or ordered data
Key Insight
💡 Ordinal categorical data encoding helps machine learning models understand the meaning behind rankings and ordered data
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🤖 Teach machine learning models the meaning behind rankings with ordinal categorical data encoding! 💡
Key Takeaways
Learn to encode ordinal categorical data to teach machine learning models the meaning behind rankings and improve model performance
Full Article
One of the first things you realize while building machine learning models is that algorithms don’t understand words. Continue reading on Medium »
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