Day 15–60 days of Data Science and Machine Learning

Hope you all had a great Halloween weekend [ I dressed up as "Mother of Dragons" along with my cool " Game of thrones" techie friends];) #winteriscoming. Let's get back and learn some more data science and machine learning. 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, Hands on Regression Part 1 as Day 14th. In this post we will cover how we can implement Regression -- part 2 as Day 15. The Linear Regression method is basically a linear approach for modeling the relationship between a scalar dependent variable y and one or more explanatory variables (or independent variables) as it just minimizes the least squares error: for one object target y x T * w, where w is model's weights.