Machine Learning Web application for credit risk assessment

Developed a machine learning model for loan application assessment, employing data preprocessing, training with various classifiers, model selection based on F1 score, and optimization using GridSearchCV. Integrated the model into a Flask web app, containerized it with Docker, and established Continuous Integration and Continuous Deployment (CICD) pipelines through GitHub Actions. Deployed the web app on Amazon Web Services (AWS) using IAM, ECR, and EC2 services.