Key Learnings:-->Deep Dive into ML Concepts: Enhanced understanding of core machine learning principles including supervised and unsupervised learning, model evaluation, and overfitting/underfitting.-->Model Optimization: Learned techniques for hyperparameter tuning, model selection, and performance optimization to improve model accuracy and efficiency.-->Ethical AI: Discussed the importance of fairness, accountability, and transparency in building AI systems.