You're looking for a complete Linear Regression course that teaches you everything you need to create a Linear Regression model in R, right? You've found the right Linear Regression course! How this course will help you? A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course. Why should you choose this course?

In this section we will learn - What does Machine Learning mean. What are the meanings or different terms associated with machine learning? You will see some examples so that you understand what machine learning actually is. It also contains steps involved in building a machine learning model, not just linear models, any machine learning model.

You're looking for a complete Linear Regression course that teaches you everything you need to create a Linear Regression model in Python, right? You've found the right Linear Regression course! Identify the business problem which can be solved using linear regression technique of Machine Learning. Create a linear regression model in Python and analyze its result. A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course.

This is the 2nd part of the series. In this part we'll discuss how to choose between Logistic Regression, Decision Trees and Support Vector Machines. The most correct answer as mentioned in the first part of this 2 part article, still remains it depends. We'll continue our effort to shed some light on, it depends on what. All three of these techniques have certain properties inherent by their design, we'll elaborate on some in order to provide you with few pointers on their selection for your particular business problem.