Upon completing this course, students will demonstrate expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes, and Q-Learning. The course will also help students understand the concepts of Statistics, Time Series, and different classes of machine learning algorithms like supervised, unsupervised, and reinforcement algorithms.