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