About this document
Data Pre-Processing Techniques by Anisha Sapra is a document available to read on EtoBox.
The document discusses data pre-processing techniques including data cleaning, standardization, and addressing overfitting. It explains that raw data often contains errors, outliers, and missing values which require cleaning. Standardization of numerical and transformation of categorical variables ensures models can properly analyze different variable types and ranges. Overfitting occurs when models are too complex and do not generalize beyond the existing data, so validation and test sets help select optim
- Author
- Anisha Sapra
- Language
- EN