What you will learn

• Compare and contrast artificial intelligence, machine learning, and deep learning 

• Explain the machine learning models development lifecycle  

• Differentiate between supervised and unsupervised machine learning 

• Evaluate classification models using metrics such as accuracy, confusion matrices, precision, and recall