# Linear Regression: Everything From Math to Program Part-2

Hello Everyone!!!

This is the second part of the series Linear Regression: Everything From Math to Program.

Part 2: Regression with Two Independent Variable

Earlier in Part-1, we have learned about how to perform linear regression in the case of one independent variable in python and Excel. We have also derived the general expression for calculating slope and intercept of a one independent variable linear regression problem.

In this part, we are continuing our learning and derive a general expression for a multiple linear regression problem

# Linear Regression: Everything From Math to Program Part-3

Hello All !!!

This is the third and final part of the series Linear Regression: Everything From Math to Program.

Part 3: Regression with Multiple Independent Variables

If you have made it so far then it’s obvious you have understood concepts of Linear regression and how those beautiful libraries on regressions working in the back-end. I don’t want to share anything fancy with you guys at this point and make this blog lengthy and complicated. There are no derivations in this part and we will use…

# Linear Regression: Everything From Math to Program

A few days ago I was trying to solve one of the problems given to me in my school. They asked us to impute some missing values in a given dataset. Those of you who are aware of the term ‘imputation’, you know that there are countless algorithms published in various studies for different kinds of data.

Some of the algorithms for imputing a missing value is:

1. 3M (Mean, Median, Mode) imputation
2. Least Square Imputation
3. Hot/Cold Deck Imputation
4. Linear Regression Imputation
5. Stochastic Regression Imputation

And many more…

In our problem, it was clearly mentioned that the given data has linear… ## Gourav K Nayak

Research Student pursuing Master’s In I.E at University Of Windsor, Software Developer by Profession, Bachelors in M.E, Machine Learning Enthusiast