#machinelearning #datascience
Source Code:
==============================
Welcome to our channel! In this video, we delve into the world of data encoding and explore two popular techniques: label encoding and ordinal encoding. Join us as we demystify these encoding methods and discuss their similarities, differences, and use cases. We'll dive into the details of label encoding, where categorical variables are mapped to numerical labels, and ordinal encoding, where categories are assigned numerical values based on their order or rank. We'll provide a comprehensive comparison of these encoding techniques, helping you understand their pros and cons. Whether you're working on a machine learning project or dealing with categorical data, this video will guide you in choosing the right encoding method for your specific needs. Stay tuned to master the art of data encoding with label encoding and ordinal encoding
"Understanding Label Encoding vs. Ordinal Encoding: Which is Right for Your Data?"
"Label Encoding vs. Ordinal Encoding: A Comprehensive Comparison"
"Demystifying Label Encoding and Ordinal Encoding Techniques"
"Choosing the Right Encoding Method: Label vs. Ordinal Encoding"
"Mastering Data Encoding: Label vs. Ordinal Encoding Explained"
==============================
Channel Contents:---------
Machine Leaning Projects: [ Ссылка ]
Recommendation System: [ Ссылка ]
computer vision projects: [ Ссылка ]
100 days mahine learning: [ Ссылка ]
100 days computer vision: [ Ссылка ]
Python Chatbot Development: [ Ссылка ]
Machine Learning Regression Projects: [ Ссылка ]
Python Advance Programs: [ Ссылка ]
python search engins: [ Ссылка ]
Coviod-19 Machine Learning Projects: [ Ссылка ]
Error Handling With ChatGPT : [ Ссылка ]
================================
My Acounts Links:
1 Facebook: [ Ссылка ]
2 Github: [ Ссылка ]
3 Linkdin: [ Ссылка ]
4 Kaggle: [ Ссылка ]
5 FaceBook Page: [ Ссылка ]
8 Email: 611noorsaeed@gmail.com
Ещё видео!