Learning Objectives

• Define a problem that can be solved by training a machine learning model
• Obtain, verify and clean data before transforming it into the correct format for use
• Perform exploratory analysis and extract features from data
• Build models for regression, classification and clustering
• Evaluate the performance of a model with the right metrics
• Solve a classification problem using the neuralnet package
• Implement a decision tree using the random forest library