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Fortune Forecaster: Harnessing Machine Learning for Profit Prognostication

Juveria Fathima, T. Aditya Sai Srinivas

Abstract


In this article, we explore the pivotal role of setting achievable goals for a company, emphasizing the parallel between goal-setting and profit prediction. The effectiveness of employee performance is intricately tied to the feasibility of corporate objectives. Drawing a parallel, profit prediction becomes analogous to goal-setting. Understanding the correlation between investment in research and development (R&D) and marketing activities with potential profit allows businesses to surpass predicted values, granted the projections are realistically attainable.


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References


https://thecleverprogrammer.com/2021/04/29/profit-prediction-with-machine-learning/

https://www.analyticsvidhya.com/blog/2021/11/startups-profit-prediction-using-multiple-linear-regression/

https://www.eurchembull.com/uploads/paper/e3e6f728ec3d264c2d7c5ce0430c9586.pdf

https://www.kaggle.com/code/vikramjeetsinghs/profit-prediction-using-linear-regression

https://repository.arizona.edu/bitstream/handle/10150/665590/Profit%20Prediction%20based%20on%20Financial%20Statements%20using%20Deep%20Neural%20Network.pdf?sequence=1


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