Decision Making and Machine Learning Models for a Film Production Company to Predict the Future Financial Based On Previous Years Data Territory Wise

The research evaluates the way machine learning technology furnishes financial forecasting capabilities to film production businesses. The technology uses past data to anticipate revenue performance across different geographic locations. The forecasting procedure uses financial indicators including budgets together with gross earnings and ratings. The analysis adopts a deductive research design based on interpretivist thinking that uses secondary information. The research employs qualitative theme analysis to discover financial trends and performance changes. The predictive models find application in evaluating their forecasting outcomes across separate regions. Analysis of local market dynamics gives useful guidance to organisations in the time of allocating funding and planning budgets. The compiled findings help business leaders avoid financial dangers by supplying analytical recommendations.