Simple Linear Regression: Linear Regression: The relationship between variables such that it forms a straight line. The Relation that defines linearity in the data is called Co-relation. Co-Relation: The correlation in three forms i.e a)Positive correlation b)Negative correlation c)No correlation What is Linear Regression: It is all about getting the best fit line that supports linearity in the data is called Linear Regression. "WHAT IS BEST FIT LINE"? "HOW TO IDENTIFY BEST FIT LINE"? By using the Pearson correlation coefficient -A llows us to create a basic ideal line Using the error function & Gradient Descent...