Fake News Detection
Here’s a detailed and comprehensive explanation of Fake News Detection covering every step in a lengthy way. Fake News Detection: A Comprehensive Guide 1. Introduction Fake news detection is a….
Tag: LightGBM
Credit Scoring Models
Credit Scoring Models: A Comprehensive Guide Introduction Credit scoring models are statistical and machine learning models used by financial institutions to assess the creditworthiness of individuals and businesses. These models….
Gradient Boosting (XGBoost, LightGBM, CatBoost)
Gradient Boosting (XGBoost, LightGBM, CatBoost) in Machine Learning 1. Introduction to Gradient Boosting Gradient Boosting is a powerful ensemble learning technique used in machine learning for classification and regression tasks…..
Confusion Matrix
Confusion Matrix in Machine Learning 1. Introduction to Confusion Matrix A Confusion Matrix is a performance evaluation metric used in classification problems. It helps to understand how well a machine….
ROC Curve and AUC
ROC Curve and AUC in Machine Learning The ROC (Receiver Operating Characteristic) Curve and AUC (Area Under the Curve) are essential metrics for evaluating the performance of classification models, especially….
Feature Selection Techniques
Feature Selection Techniques: A Comprehensive Guide Introduction Feature selection is a crucial step in machine learning that involves selecting the most relevant features (variables) for building an efficient and accurate….