Дослідження методів прогнозування прибутковості фільмів та серіалів

Abstract

The purpose of the research is to determine the methods of forecasting the profitability of films and series in the modern market conditions of the film industry. As a result of the research, we chose a feed-forward neural network and a polynomial regression model as methods for solving the forecasting problem, we implemented these models using the python language, and compared their effectiveness. It was determined that the neural network works faster and more accurately than the polynomial regression model and can model more complex relationships in the data