If you are reading this , I hope you are aspiring to become a machine learning engineer or data scientist or else you are already one. In this blog , we are going to see how machine learning can be used in real world applications. if you are a beginner , there are a certain pre-requisites to understand the code below . you could also check out my other blogs where I have written about the basic of machine learning and the pre-requisites mentioned here. otherwise , you could also just read the blog and checkout for yourself and get a basic idea of how things work in the MachineLearning World
nowadays , Machine learning is everywhere and it is necessary in almost every industry and that is why a company has a separate team to predict their company’s future profits based on certain factors which will be very useful for the company to increase their profit and that is ultimately the goal of every company.
So , Here is a very basic problem . you are given the various factors such as the R and D spend , the state at which the company is located and some other investments based on which you are asked to predict the future profits of a different set of companies. and this can be done with basic linear regression .
and before we begin this , there are a certain pre-requisites and they are :
1) Linear Regression
and having said that , let’s look at the problem and the solution code
So , we have seen one of the basic problems that one could face in the real world and this is also a very basic application of machine learning and in real world , it could be much more difficult .
This could be a little intimidating at first . but , the code is also available at my github repository . feel free to can check that out , too
here’s the link to my pytorch Machine Learning Repository : https://github.com/ashwinhprasad/machine-learning-fundamentals-with-pytorch