Intermediate learning track is best suited for those looking to understand various machine learning algorithms both practically and theoretically. It targets learners with a foundation in the fundamentals of machine learning or data science. By taking the courses you will be able build a machine learning project to completion from data visualization, Exploratory Data Analysis (EDA), data preprocessing and modeling. A background in college-level mathematics, engineering or computer science is recommended however those with basic understanding of probability, statistics, calculus, linear algebra Python or R, or mathematical reasoning can comfortably take the courses. However, if you are not comfortable with these prerequisites we recommend starting from the beginner track to adequately prepare for this learning path.