Skip to content

Latest commit

 

History

History
26 lines (20 loc) · 760 Bytes

File metadata and controls

26 lines (20 loc) · 760 Bytes

FeatureBot – AI-Guided Feature Engineering Workflow

Overview

FeatureBot is an AI-assisted feature engineering workflow designed to improve predictive model performance using the Adult Income dataset.

Objectives

  • Build baseline classification model
  • Apply feature engineering techniques
  • Compare enhanced model performance
  • Maintain transparent evaluation process

Tools Used

Python, Pandas, Scikit-learn, Google Colab

Workflow

  1. Data cleaning and preprocessing
  2. Encoding categorical features
  3. Baseline model training
  4. Feature engineering
  5. Enhanced model evaluation

Dataset

Adult Census Income Dataset (Kaggle)

Results

Enhanced model achieved comparable performance demonstrating structured feature engineering approach.