Some of the most important tasks performed by data professionals are prediction and machine learning. This course will cover basic components of building and applying prediction functions with an emphasis on practical applications. Students will learn all state-of-the-art AI & Machine learning models including how to create, test, train and deploy these models. Students will learn several techniques, including supervised learning and theoretical aspects of machine learning. The course will teach Classification, Regression, KNN, Decision Tree, Random Forest and other data science models. Finally, students will learn how to deploy machine-learning algorithms on Microsoft Azure Cloud Services.
• K-nearest neighbors
• Naive Bayes
• Linear Regression
• Multivariable Regression
• Logistic Regression
• Decision Tree
• Support Vector Machine
