Artificial intelligence (AI, ML, DL) performance metrics implemented in Python

Python package to simplify plotting of common evaluation metrics for regression models. Metrics included are pearson correlation coefficient (r), coefficient of determination (r-squared), mean squared error (mse), root mean squared error(rmse), root mean squared relative error (rmsre), mean absolute error (mae), mean absolute percentage error (m…

An npm package to make it easier to deal with a handful of values, and try to model them in one of the most used mathematical models, with an R/Numpy-like accuracy algorithm

Testeo de modelo de regresión lineal entre el pbi y el riesgo pais argentino 1999-2023. Limpieza y transformación de datos con SQL y Excel. Regresión lineal, Test F y Coeficiente de determinación (R2) con R.

Linear Multilinear and Logistic Regression in Machine Learning

A predictive machine learning model to guess housing prices using decision tree regression with %90+ accuracy

Lab sessions of the Machine Learning course of the Artificial Intelligence Master's degree at UniBo