GitHub / aarryasutar / Linear_Multivariate_Regression_on_Football_Statistics

Linear regression models are used to predict football player attacking stats based on attributes like finishing and passing, with the model trained, evaluated, and applied for predictions. Multiple features improve accuracy, and performance is assessed using metrics like MSE and R-squared.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/aarryasutar%2FLinear_Multivariate_Regression_on_Football_Statistics

Topics: datasets, feature-selection, football-stats, linear-reg, machine-learning, mae, mse, multivariate-regression, numpy, pandas, rmse, scatter-plot, train-test-split

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