Using SHAP Values to Explain How Your Machine Learning Model Works, by Vinícius Trevisan

Vinícius Trevisan – Medium

Using SHAP Values to Explain How Your Machine Learning Model Works, by Vinícius Trevisan

Interpreting ROC Curve and ROC AUC for Classification Evaluation, by Vinícius Trevisan

Comparing Robustness of MAE, MSE and RMSE, by Vinícius Trevisan

Evaluating the potential return of a model with Lift, Gain, and Decile Analysis, by Vinícius Trevisan

Interpreting ROC Curve and ROC AUC for Classification Evaluation, by Vinícius Trevisan

Is your ML model stable? Checking model stability and population drift with PSI and CSI, by Vinícius Trevisan

List: Model evaluation, Curated by Vinícius Trevisan

Evaluating the potential return of a model with Lift, Gain, and Decile Analysis, by Vinícius Trevisan

Comparing Robustness of MAE, MSE and RMSE, by Vinícius Trevisan

Is your ML model stable? Checking model stability and population drift with PSI and CSI, by Vinícius Trevisan

5 tips to start a career in data. The steps that led me to become a Data…, by Vinícius Trevisan