What's included

• Model Design & Development

  Custom AI/ML models built for prediction, classification, or regression tasks using Python frameworks like TensorFlow, PyTorch, and Scikit-Learn.

• Data Preparation & Analysis

  Structured data cleaning, feature engineering, and exploratory analysis to ensure quality inputs and meaningful model outcomes.

• Model Evaluation & Optimization

  Model testing and validation using metrics such as accuracy, precision, recall, and F1-score, with performance tuning for better results.

• Documentation & Reproducible Code

  Well-documented Jupyter notebooks and codebase for transparency, future retraining, and knowledge handoff.