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Ordinal Encoder with Python Machine Learning (Scikit-Learn)
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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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Who is Ryan
Ryan is a Data Scientist at a fintech company, where he focuses on fraud prevention in underwriting and risk. Before that, he worked as a Data Analyst at a tax software company. He holds a degree in Electrical Engineering from UCF.
Who is Matt
*This is an affiliate program. We receive a small portion of the final sale at no extra cost to you.
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.
🍿 WATCH NEXT
OTHER SOCIALS:
Who is Ryan
Ryan is a Data Scientist at a fintech company, where he focuses on fraud prevention in underwriting and risk. Before that, he worked as a Data Analyst at a tax software company. He holds a degree in Electrical Engineering from UCF.
Who is Matt
*This is an affiliate program. We receive a small portion of the final sale at no extra cost to you.
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