DEVELOPMENT AND PRACTICAL APPLICATION OF A REGRESSION MODEL IN THE PYTHON PROGRAMMING LANGUAGE

This thesis demonstrates the process of developing a regression model in the Python programming language and applying it in practical problems. Regression analysis, as a statistical method, plays a crucial role in determining the relationship between variables. The work examines the theoretical foundations of the linear regression model, the stages of its creation using the Python programming environment, and the possibilities of applying it based on real data. Also, ways to increase the effectiveness of regression models using modern libraries have been analyzed.

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