In this tutorial we will discuss about structure of Linear regression and how a Linear regression Equation is constructed for 2 variable model.
This Tutorial talks about basics of Linear regression by discussing in depth about the concept of Linearity and Which type of linearity is desirable.
This tutorial talks about the importance of Testing set and Validation sets for predictive analytic algorithms and different techniques which can be wisely used to get a reliable measure of accuracy.
This tutorial talks about various measures of accuracy in in various predictive analytics and machine learning scenarios. It also talks about potential pitfall of over fitting resulting in memorization vs the learning which is desirable.
The tutorial introduces you to the basics of machine learning and different types of machine learning algorithms and how to kick start career in the field of data science by understanding the basics.