About this document
Multiple Linear Regression Analysis by haneesh Kakumani is a document available to read on EtoBox.
The document details the process of performing multiple linear regression analysis on a startup dataset containing financial and state information. It includes data preprocessing steps such as standardization, handling categorical variables, and outlier removal, followed by model training and evaluation. The final model demonstrates a high coefficient of determination (R²) value, indicating a strong fit to the training data.
- Author
- haneesh Kakumani
- Language
- EN