I developed a predictive model following CRISP-DM framework for my machine learning class. The project involved comprehensive data cleaning and both training and testing phases, utilizing various algorithms including KNN, Naive Bayes, SVM, and Neural Networks. By analyzing both categorical and numerical data, I achieved an accuracy of approximately 76%, showcasing my ability to apply machine learning techniques effectively.