Liberti HubHow to Handle Categorical FeaturesLearn how to manage categorical features in machine learning with effective methods to optimize your models.Oct 3
Sangeeth PogulaFrom Categories to Numbers: A Comprehensive Guide to Feature Encoding.In the realm of machine learning, effectively transforming and preparing data is crucial for building accurate models. One key aspect of…Aug 31Aug 31
Manish KambleChurn Prediction — Part_1 {Encoding/Scaling/Resampling}Data Preprocessing Essentials for Building Reliable Churn ModelsMar 27Mar 27
Liberti HubHow to Handle Categorical FeaturesLearn how to manage categorical features in machine learning with effective methods to optimize your models.Oct 3
Sangeeth PogulaFrom Categories to Numbers: A Comprehensive Guide to Feature Encoding.In the realm of machine learning, effectively transforming and preparing data is crucial for building accurate models. One key aspect of…Aug 31
Manish KambleChurn Prediction — Part_1 {Encoding/Scaling/Resampling}Data Preprocessing Essentials for Building Reliable Churn ModelsMar 27
DataScience-ProFRevolutionizing Predictive Analytics: Unveiling the Power of Cyclical Feature EncodingIntroduction:Feb 5
Anand ShawHow to Encode and Feature Encoding in Machine Learning.Introduction: Machine learning models require numerical data as a input. However Many datasets contain categorical data that needs to be…Feb 29
Suparkij A OrenalyzeExploring theLook eCommerce Dataset : Returned product Analytics Part 2Part 2 : Feature Engineering, Modeling and Post-Modeling AnalysisJul 19, 2023
