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ISSN 2063-5346
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Profit Prediction Model using Machine learning Algorithms

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Riya Verma, Satyam Gupta, Swati Bhadana ,Ritika Rajput ,Vaishali Deshwal, Vijay Kumar
» doi: 10.31838/ecb/2023.12.si4.049

Abstract

In today’s world, people are more attracted towards starting their own new startup but there is cut throat competition in the market in terms of product, profit, etc. To survive in the market and earn something high, different strategies are followed and several opinions and points are considered. The model aims at predicting the profit of any start up based on the values of certain parameters such as R&D Spend, Marketing Spend, Administration Spend and State in which start-up is located. Our model will be helpful in providing the profit amount to the users beforehand. Prediction of profit in advance, will be helpful for users to adopt and examine different strategies to enhance it. Random Forest and Multiple Linear Regression are the two machine algorithms that are implemented to provide the result with higher accuracy.

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