A Machine Learning Model built in scikit-learn using Support Vector Regressors, Ensemble modeling with Gradient Boost Regressor and Grid Search Cross Validation.

This project is made for search the best regression model based in some metrics training some models and evaluating them

This project is a complete practical implementation of the Machine Learning Lifecycle (ML Lifecycle), combining supervised modeling with modern MLOps practices.