Vinícius TrevisaninTowards Data ScienceIs your ML model stable? Checking model stability and population drift with PSI and CSIHow to make sure that your Machine Learning model is still performing as trained6 min read·Mar 28, 2022--3--3
Vinícius TrevisaninTowards Data ScienceTarget-encoding Categorical VariablesOne nice alternative to One-hot encoding your categories8 min read·Mar 17, 2022--3--3
Vinícius TrevisaninTowards Data ScienceEvaluating the potential return of a model with Lift, Gain, and Decile AnalysisUse these three tools to understand the usefulness of your machine learning models7 min read·Mar 7, 2022----
Vinícius TrevisaninTowards Data ScienceEvaluating classification models with Kolmogorov-Smirnov (KS) testUsing the KS test to evaluate the separation between class distributions6 min read·Feb 28, 2022--3--3
Vinícius TrevisaninTowards Data Science5 tips to start a career in dataThe steps that led me to become a Data Scientist in a multinational company6 min read·Feb 19, 2022----
Vinícius TrevisaninTowards Data ScienceMulticlass classification evaluation with ROC Curves and ROC AUCAdapting the most used classification evaluation metric to the multiclass classification problem with OvR and OvO strategies6 min read·Feb 12, 2022--4--4
Vinícius TrevisaninTowards Data ScienceComparing sample distributions with the Kolmogorov-Smirnov (KS) testHow to compare samples and understand if they come from the same distribution using python7 min read·Feb 7, 2022--2--2
Vinícius TrevisaninTowards Data ScienceInterpreting ROC Curve and ROC AUC for Classification EvaluationHow I wish I was taught ROC Curve when I first learned it9 min read·Jan 31, 2022--2--2
Vinícius TrevisaninTowards Data ScienceBoruta SHAP: an amazing tool for feature selection every data scientist should knowHow we can use Boruta and SHAP to build an amazing feature selection process — with python examples7 min read·Jan 25, 2022--3--3