ajitmane36 / bank-marketing-effectiveness-prediction-ml-classification Goto Github PK
View Code? Open in Web Editor NEWThis project focuses on utilising machine learning techniques to predict the effectiveness of bank marketing campaign. Logistic Regression, Decision Tree, Random Forest, Gradient Boosting Machine, XGBoost, K Nearest Neighbor, Naive Bayes, Support Vector Machine, and Artificial Neaural Networks algorithms are used to build a model for prediction.