Learning Outcomes

In this free course, you will learn how to:

• Define the concept of Machine learning
• Explain the goal of a linear regression model
• Discuss the concept of overfitting a model
• Evaluate the standard packages used for Exploratory Data Analysis
• Describe data manipulation and visualization in R
• Recognize the most common Linear Regression cost function
• Identify data processing steps in R
• Recall the reasons why data preprocessing is necessary
• Recall the examples of applications that use Machine learning