Day 14–60 days of Data Science and Machine Learning

Well, I hope you all have already grasped the Python essentials, Statistics and Maths from day 1 -- day 8(links shared below), Pandas part 1 and part 2 on Day 9, Day 10, Numpy as Day 11, Data Preprocessing Part 1 as Day 12, Data Preprocessing part 2 as Day 13th. In this post we will cover how we can implement Regression - part 1 as Day 14. It's a technique to estimate the relationship between two quantitative variables. It works on the assumption that the relationship between the independent and dependent variable is linear: the line of best fit through the data points is a straight line as shown in the diagram. Linear regression uses mean-square error (MSE) to calculate the error of the model.