Understanding One-Hot Encoding: A Key Technique for Categorical Data in Machine Learning 📊

What is one-hot encoding?
It is a way to feed categorical data to Machine Learning models.

Why do we use one-hot encoding?
Because Machine Learning models cannot handle categorical data in its raw form.

👋 Keep in touch?
==========================
🐥 Twitter - https://twitter.com/misraturp
🔗 LinkedIn - https://linkedin.com/in/misraturp/
📹 YouTube - https://youtube.com/@misraturp
🌎 Website - https://misraturp.com/

Courses & resources
============================
📙 Fundamentals of Deep Learning in 25 pages
https://misraturp.gumroad.com/l/fdl

👩‍💻 Hands-on Data Science: Complete your first portfolio project
https://www.misraturp.com/hods

📥 Streamlit template
https://misraturp.gumroad.com/l/stemp

🤖 Deep Learning 101 with Python and Keras (FREE)
https://youtube.com/playlist?list=PLM8lYG2MzHmQn55ii0duXdO9QSoDF5myF

🏃‍♀️ Data Science Kick-starter mini-course (FREE)
https://www.misraturp.com/courses/data-science-kick-starter-mini-course

🐼 Pandas cheat sheet (FREE)
https://misraturp.gumroad.com/l/pandascs

📝 NNs hyperparameters cheat sheet (FREE)
https://www.misraturp.com/nn-hyperparameters-cheat-sheet