About this document

Practice - Ipynb JupyterLab by sppmllearn is a document available to read on EtoBox.

The document outlines a data analysis process using a census income dataset, focusing on predicting whether individuals earn more than $50K annually. It includes data cleaning steps, feature selection based on multicollinearity, and the application of various machine learning models such as Logistic Regression, Decision Tree, and Random Forest. The performance of these models is evaluated using accuracy scores and classification reports.

Author

sppmllearn

Language

EN