PySODMetrics: A Simple and Efficient Implementation of Grayscale/Binary Segmentation Metrcis

Repositório para as aulas e atividades propostas na disciplina Estimativas Métricas de Software & Teoria da computação.

This project is focused on Multiple machine learning models, including Linear Regression, Decision Tree Regression, and Random Forest Regression, were implemented to predict the target variable and evaluated using various metrics like RMSE, MAE, and R-squared. The performance of these models was compared, and the Random Forest Regressor was found.

Repo for the Adult Census Income Project

A Google Sheet document + AppScript to test and evaluate OpenAI models with your own prompts.

This practical exercise focuses on the application of fundamental metrics for Data Analysis and on developing machine learning solutions through regression and classification tasks using sklearn.

Quality metrics of ML algorithms. KNN. Data wrangling.

python module, showcasing computation (as part of a learning process) of some common statistical methods including mininum sample size, confidence interval estimation methods for mean or proportion, hypothesis testing mehods and regression models witth metrics and test suites