Dive into a comprehensive 2-hour 15-minute tutorial on Linear Regression in Machine Learning, exploring its fundamental concepts and applications. Learn about supervised and unsupervised learning, data science machine learning steps, and the differences between classification and regression. Gain insights into industry use cases for machine learning and understand how linear regression algorithms are used for predictive analysis. Implement linear regression in Python and discover its role in finding linear relationships between dependent and independent variables. Explore the broader field of machine learning, including its applications in email filtering and computer vision, while mastering the essential steps in the data science machine learning process.