Project information

• Category: Jupyter Notebook
• Tech Stack: Python, Pandas, Numpy, Matplotlib, Seaborn
• Project date: July 2024 - August 2024
• Project URL: https://github.com/aparna-pillai/Predict-Income-Binary

Developed a logistic regression model to predict binary income brackets (<=50K or >50K) using the Census Income dataset

Preprocessed data and applied one-hot encoding to handle missing values and convert categorical variables to numerical format

Optimized model performance by tuning hyperparameters and evaluating with AUC, precision-recall and ROC curve graphs