Describe the fundamental principles of ML.
Define the difference between unsupervised and supervised learning techniques.
Apply the basics of linear algebra and differential calculus to ML.
Access and utilise R.Utilize various R packages such as caret
and ggplot2
to streamline the modelling process and visualize data effectively.