Making use of Linear Regression and Classification model to determine the likely winner of the 2020 election

U.S. Presidential Election Prediction using Machine Learning
U.S. Presidential Election Prediction using Machine Learning
Trump and Biden in the final presidential debate on the campus of Belmont University on October 22, 2020 in Nashville, TN. Photo: The Washington Post/Getty Images

Data Source: https://www.kaggle.com/tunguz/us-elections-dataset

It is undoubtedly true that even with the presence of institutions and services of the safety personnel, healthcare workers, E commerce, Entertainment industry, etc., if good governance is lacking to ensure the proper management of these institutions and execute effective policies, their effects will not be felt by the populace. Hence the need for good and efficient governance in the society.

This is why the need to elect the right candidate who would fill the president’s position shouldn’t be underestimated. This project was worked on using several past datasets and it was aimed at:


Is this even possible!

A brief Introduction about me

I am a young, talented and very inquisitive person especially about happenings in his environment. I think that has over the years been my driving force to what I know today. I was born and raised in the western part of Africa, Nigeria to be Specific, and I know for a fact that we are one of the most hospitable and intelligent people in the world.

I would love to describe myself as a tech person or what some commonly refer to as a tech zombie, although for the positive reasons! …

Precious Orekha

A Chemical Engineering graduate /Data Scientist & Machine Learning Engineer/3D Blender Artist. I write to anchor my thoughts.

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