Ordinal Encoder with Python Machine Learning (Scikit-Learn)
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- Опубликовано: 15 окт 2024
- Are you ready to enhance your data preprocessing skills? 📊 Join us in this informative tutorial where we delve into the world of Ordinal Encoding using Python and the powerful Scikit-Learn library.
Whether you're a data analyst, machine learning enthusiast, or a developer aiming to improve your data handling techniques, this tutorial is your gateway to mastering Ordinal Encoding and its applications.
By the end of this tutorial, you'll have a strong grasp of Ordinal Encoding and be equipped to handle categorical data with order in your machine learning and data analysis projects. Whether you're working on recommendation systems, customer segmentation, or any application involving categorical features, Ordinal Encoding is a valuable skill to possess.
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this guys deserve millions of subscribers. easily explained save this man. give him protection.
Haha one day
It took me a while to find this video you should add that this is for multi-categorical features too, thanks for sharing this great video!!!
Thanks for video Ryan! in the book hands-on machine learning..., was show a example that the variable enc.categories_, show the categories of array/Series (sorry for my poor english)
If you are looking for help on a data project reach out to me over email or the contact form on my website.
Article based on the video is out (will be expanding it in the future): ryannolandata.com/ordinal-encoder/
After the encoder transforms the categorical column, what method can be used to print out the mapping relationship between the numbers and original values, such as:
0 small
1 medium
2 large
I forgot to say your video is awesome, thanks for sharing:)
Thanks for checking it out aand leaving a comment
Hello brilliant video and brilliant channel. I am unable to see the mock data int the comment section. Can you kindly guide me what am I doing wrong and if you haven't put the data in the comment section, can you put it here please
Ill have an article soon on my website
Article based on the video is out (will be expanding it in the future): ryannolandata.com/ordinal-encoder/
This content is really help full to me....Thanks for this
No problem
Thank you!!
No problem