About this document
Data Pre-Processing for ML Models by Priya Akter is a document available to read on EtoBox.
The document outlines a data processing workflow for a supervised classification task using a survey dataset. It includes steps such as data cleaning, balancing, one-hot encoding, and splitting the dataset into training and testing subsets. The final stages involve building regression models, evaluating them using metrics like MAE and RMSE, and conducting a comparative analysis between the models.
- Author
- Priya Akter
- Language
- EN