I will build machine learning model and streamlit web app for your data

Have a dataset and want to turn it into a working machine learning solution?

I will build a custom machine learning model using Python and transform your data into an interactive prediction system. Depending on your package and project requirements, I can handle the complete workflow from data preprocessing and model development to optimization, explainability, and Streamlit deployment.

What I can provide:

• Data cleaning and preprocessing
• Feature engineering
• Classification and predictive modeling
• Multiple ML model comparison
• Model training, testing, and optimization
• Performance evaluation using appropriate metrics
• XGBoost, Random Forest, Logistic Regression, Decision Trees & more
• Interactive Streamlit web application
• Explainable AI where appropriate
• Model saving and deployment
• Clean Python source code

I have built end-to-end ML applications such as HeartGuard AI, an explainable cardiovascular classification system combining XGBoost, SHAP explanations, and a deployed Streamlit interface.

Please contact me before ordering so I can review your dataset, prediction goal, and requirements and recommend the right package.