RidwanData Cleaning Unnormalized Datasets using Aggregation in The Case of Multiclass XGBoost Credit…Real world raw datasets are generally messy and it is the main reason why the data wrangling step is the most tedious and time consuming…Jan 16, 2023Jan 16, 2023
RidwanAn Introduction to Customized User Defined Functions for Bivariate Analysis Involving Categorical…When creating a predictive model for a classification or regression task, the bivariate analysis of features is an essential part that is…Nov 2, 2022Nov 2, 2022
RidwanThe Implementation of the Weight of Evidence and Information Value Feature Selection in Machine…The application of machine learning classifiers in credit risk modelling usually involves a binary classification task on an imbalanced…Nov 2, 2022Nov 2, 2022
RidwanThe Application of Clustering in Addressing Classification Target Class Imbalance — A Case Study…When it comes to classification tasks in real world datasets, class imbalance is the norm rather than the exception. From machine learning…Oct 25, 2022Oct 25, 2022