Machine Learning Basics | The Nuts and Bolts of Machine Learning Google Coursera Full Course

The course covers machine learning basics, focusing on model creation, evaluation, and practical applications. It introduces supervised and unsupervised learning, feature engineering, and various algorithms like decision trees, random forests, and boosting methods. Emphasis is placed on ethical considerations, model validation, and using Python for implementation, preparing learners for data professional roles.