Understanding Train-test-split Function

The video tutorial explains the process of preparing data for machine learning, focusing on splitting data into input and output variables, training and testing models, and using the train test split function to automate data splitting. It covers the importance of data preparation, model accuracy, and practical data handling techniques.

How can you measure the accuracy of a machine learning model?

What steps are involved in deploying a machine learning model for real applications?

What is the purpose of the train_test_split function in machine learning?