Pima Indians Diabetes – Outlier Removal & Classification

An analysis based on the well-known Pima Indians Diabetes Dataset focusing on outlier detection and classification using various Machine Learning algorithms.

📋 Contents

• data/ – Contains the original and cleaned datasets.
• notebooks/ – Jupyter notebooks detailing the full analysis pipeline:
  • Data exploration
  • Outlier detection and removal
  • Feature engineering and normalization
  • Model training and comparison
  • Performance evaluation
• requirements.txt – List of required Python packages.

🚀 Installation & Setup

git clone https://github.com/MacMat01/pima-indians-outliers-removal-classification.git
cd pima-indians-outliers-removal-classification

# (optional) create a virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# install dependencies
pip install -r requirements.txt

# launch Jupyter Notebook
jupyter notebook