AI Data Analysis - Data Preprocessing (36) - Encoding: Target Encoding / Mean Encoding

This article discusses target encoding and mean encoding techniques for data preprocessing in AI data analysis. It mentions using Python for implementation and Gemini for AI utilization. The article seems to be part of a series on data preprocessing, specifically focusing on encoding methods. The content is likely practical, providing code examples and explanations of how to apply these encoding techniques. The mention of Gemini suggests the use of AI to assist in the data analysis process, potentially for tasks like feature engineering or model selection. The article's structure includes an introduction to the data used, Python implementation details, AI utilization with Gemini, and a summary.

• •Target encoding and mean encoding are useful for categorical feature encoding.
• •Python is used for implementation.
• •Gemini AI can be leveraged for data analysis tasks.