term-deposit

ROI Coin "ROI Coin Is Different"

Marketing refers to activities undertaken by a company to promote the buying or selling of a product or service. Marketing includes advertising, selling, and delivering products to consumers or other businesses. Our data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone ca…

Implementation of the AQ11 algorithm for rule generation in the field of machine learning. The primary task of this project is to classify whether a bank client will subscribe to a term deposit or not, taking into account crucial attributes such as age, occupation, education, and others.

Predictive ML classification pipeline analyzing call center campaigns to optimize customer term deposit subscription rates.

Final Project of Job Connector Data Science Data Science and Machine Learning Purwadhika Digital Technology School Jakarta.

BankSearch App - Enqura Summer Intern

The main goal as a machine learning researcher is to carry out data exploration, data cleaning, feature extraction, and developing robust machine learning algorithms that would aid them in the department.

Classification model to predict if the client will subscribe to a term deposit based on the given bank dataset

This analysis focuses on finding the best predictive model for classifying clients who might subscribe to a term deposit. Models included are Logistic Regression, Random Forest and Neural Networks

Decision Support Software

Analysis of a 100,000-client bank marketing dataset to identify segments most likely to subscribe to term deposits. Includes Python EDA, 8 multi-panel dashboards, an interactive HTML storyboard, and a business analysis report. Stacking three targeting filters lifts conversion from 30% to 52%.

We are helping a Portuguese bank to find potential term deposit subscribers and narrow down their target customers.https://bank-dash-data.herokuapp.com

Term Deposit Subscription Prediction Model

Classification problem to predict whether someone subscribe the term deposit or not

Predicting bank term deposit subscription from telemarketing data using Logistic Regression, Random Forest, XGBoost and ANN, with class-imbalance handling and threshold tuning.

See the implications of choosing this rate or that rate for term financial products.

This project analyzes the Bank Marketing dataset to predict whether a client will subscribe to a term deposit.The workflow includes data loading, preprocessing, EDA, feature engineering, and building machine learning models to classify client responses.The goal is to build a predictive model to assist the bank in potential clients more effectively.

Exploratory Data Analysis of Bank Term Deposit Dataset