Witryna2 wrz 2024 · Its main objective is to build a model that predicts the customers that would or would not subscribe to bank term deposits, and this article aims at sharing my step by step approach of building the model. Contents The Data Exploratory Data Analysis Data Preprocessing Machine Learning Model Comparing Results Prediction Conclusion … WitrynaBank-Marketing-Campaign-Analysis Analyzed the prior marketing campaigns of a Portuguese Bank using various ML techniques like Logistic Regression, Random …
Bank Marketing -Logistic Regression, Random Forest Kaggle
WitrynaBank Marketing -Logistic Regression, Random Forest R · Bank marketing campaigns dataset Opening Deposit. Bank Marketing -Logistic Regression, Random Forest. Notebook. Input. Output. Logs. Comments (0) Run. 67.9s - GPU P100. history Version 1 of 1. License. This Notebook has been released under the Apache 2.0 open source … WitrynaLogistic regression is the best performing model. Among all algorithms, logistic regression had the highest accuracy, about 88%, so it would be used to predict … isles of scilly community bus timetable
Data-Analytics and Logistic Regression for Bank Marketing Dataset
Witryna31 gru 2013 · The objective is to examine the performance of MLPNN, TAN, LR and C5.0 techniques on a real-world data of bank deposit subscription. The purpose is increasing the campaign effectiveness by... WitrynaBank Marketing Abstract: The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. The classification goal is to predict if the … WitrynaApplying logistic regression on bank marketing data. Logistic regression is a classification algorithm. It is used to predict a binary outcome ( 0/1, Yes/No, True/False) from the … isles of scilly climate change action plan