Bank Marketing Data Set Analysis In Python The files and docume
Bank Marketing Data Set Analysis In Python The files and documentation with experiment instructions needed for replicating the project is … Explore and run machine learning code with Kaggle Notebooks | Using data from Bank Marketing Dataset The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution, We majorly explore the data through Univariate, Bivariate and Multivariate data exploration, GitHub Gist: instantly share code, notes, and snippets, Comprehensive exploratory data analysis of a Portuguese bank's marketing campaign dataset using Python (Pandas, Numpy, Matplotlib), This is accomplished through Jupyter Notebook and Python libraries such as Pandas, Numpy, Matplotlib and Seaborn, The data is related with direct marketing campaigns of a Portuguese banking institution, Insights obtained are used to develop Jan 1, 2022 · Through the analysis of the time deposit telemarketing data of Portuguese commercial banks on Kaggle, Make my favorite Seven Corners Financial Center & ATM 6307 Arlington Blvd, Falls Church, VA 22044 Directions | Full Details & Services 2 Bank of America financial centers and ATMs in Virginia are conveniently located near you, As instrument we have a dataset related with direct marketing campaigns based on phone calls of a Portuguese banking institution, The main issues of the dataset are: Preprocessing required to fill unknown values in the dataset The Portuguese Bank had run a telemarketing campaign in the past, making sales calls for a term-deposit product, md : Readme file with the description In this project, I predict which customers are more likely to respond positively to a bank marketing call by setting up a regular savings deposit or subscribing the term “made_deposit”, The analysis is implemented in Python, utilizing popular libraries for data preprocessing, visualization, and modeling, Oct 1, 2025 · Master the latest trends of marketing analytics projects and datasets, covering everything from keyword research to lead scoring for a transformative marketing strategy! Explore and run machine learning code with Kaggle Notebooks | Using data from Portuguese Bank Marketing Data Set Aug 29, 2020 · In this post, am going to talk about data exploration, data cleaning, feature extraction, and dealing with class imbalance and developing a robust machine learning algorithm for predicting which potential customers would subscribe to the term deposit using different Machine learning library, Aug 29, 2020 · Data information In this project, we are going to use use the already existing bank marketing dataset (“Bank-additional-full, So their dataset is about a binary classification, The main reason f using machine learning is to build a predictive model to produce the better prediction, Explore and run machine learning code with Kaggle Notebooks | Using data from Bank Marketing Dataset Full Bank Telemarketing Analysis Introduction: This project analyzes the Portugese Bank Marketing Dataset, The target variable is whether the client subscribed to a term deposit (y), pyplot as plt import seaborn as sns from sklearn import metrics from Aakash Kaku Abstract—Data from a marketing campaign run by Banco de Portugal is examined, This project involves building a decision tree classifier to predict whether a customer will purchase a product or service, The prediction is based on demographic and behavioral data, This is a Bank Marketing Machine Learning Classification Project in fulfillment of the Udacity Azure ML Nanodegree, To aid with the campaign evaluation for The data set (bank-additional-full, Here we are analyzing Bank marketing campaigns Bank-Marketing Dataset Visualization, csv with all examples (41188) and 20 inputs This blog post explores the analysis of a bank marketing dataset to gain valuable insights into customer behaviour and develop effective strategies for promoting term deposits, Mar 31, 2023 · The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution, csv with all examples, ordered by date (from May 2008 to November 2010), Search for jobs related to Bank marketing data set analysis in python or hire on the world's largest freelancing marketplace with 23m+ jobs, The data set Dataset: We'll utilize the publicly available dataset from the UCI Machine Learning Repository Bank Marking, EDA includes exploring data to find its main characteristics and identifying patterns and visualizations, 1 THE BANK MARKETING DATA SET We will illustrate how to perform the first two phases of the Data Science Methodology using the bank_marketing_training - Selection from Data Science Using Python and R [Book] The data was collected as a marketing campaign to predict if a customer would make a term deposit in the bank, The zip file includes two datasets: 1) bank-additional-full, Analysis of bank marketing campaign data, Predictive-Analysis-on-successful-Bank-Marketing-with-Python The "Bank Marketing Data Set" from the UCI Machine Learning Repository is related with direct marketing campaigns (phone calls) of a Portuguese banking institution, The campaign’s aim was to increase customers’ subscription rates to fixed-term deposit products, such as CDs, Oct 27, 2025 · Apply for the Market Financial Center Manager - Arlington Market position (Job ID: 25037788), located in Falls Church, Virginia, at Bank of America, ), Proceedings of the European Simulation and Modelling Conference - ESM'2011, pp, Analyzing Trends Analyze subscription trends over time to identify any patterns or significant changes, The target variable is y (column # 21 Jul 14, 2023 · A function in Python that analyzes bank data from Existing Customers, New Customers, and Potential Customers based on daily and historical transactions, Running a machine learning analysis on Portuguese bank data to evaluate a customer's likelihood of subscribing to a term deposit, Oct 15, 2024 · Key insights obtained from bank marketing data after data analysis help in decision-making and formulation of marketing strategies, The data set has about 4119 rows of data with 19 features and 1 column of Class information, csv) downloaded from the UCI Machine Learning dataset repository, - aman5319/Bank-Marketing-Analysis Introduction Portuguese banking institutions have been experimenting with direct marketing campaigns in recent years as a component of their marketing plan to increase sales and maintain track of clients, 4 days ago · Apply for the Relationship Banker - Seven Corners Financial Center position (Job ID: 25047687), located in Falls Church, Virginia, at Bank of America, html : html file for the same ipython file bank, csv with all examples (41188) and 20 inputs The Bank Marketing Data Set considered for this project is a small portion (10%) of the entire available data set, Predicting Term Deposit SuscriptionsSomething went wrong and this page crashed! If the issue persists, it's likely a problem on our side, Contribute to alexkataev/Case-Study-UCI-Bank-Marketing-Dataset development by creating an account on GitHub, 2) bank-additional, Bank of America customer service information is designed to make your banking experience easy and efficient, Clean the data by handling missing values and standardizing column names for consistency, 6, pandas, matplotlib The files in the repository: Bank Marketing Data Analysis, This data set was obtained from the UC Irvine Machine Learning Repository and contains information related to a direct marketing campaign of a Portuguese banking institution and its attempts to get its clients to subscribe for a term deposit, Using knowledge from the course, a number of machine learning algorithms are implemented to answer the question: How can banks successfully market these products in the most efficient way The data is related with direct marketing campaigns of a Portuguese banking institution, The dataset has 20 input variables (mix of numeric and categorical variables) and 1 predictor variable (whether they reponded "yes" or "no") to the marketing campaign, - GitHub - KubaKrzych/Bank-Marketing-Campaign-Analysis: Analysis of a dataset that contains information on Portugal bank marketing campaign results, Introduction Portuguese banking institutions have been experimenting with direct marketing campaigns in recent years as a component of their marketing plan to increase sales and maintain track of clients, This repository contains the analysis and predictive modeling of the Bank Marketing Dataset, g, May 26, 2018 · The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution, Contribute to Dheerajkumar94/Bank-Marketing-Project development by creating an account on GitHub, Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be (yes) or not (no) subscribed, , SVM), The Search for jobs related to Bank marketing data set analysis in python or hire on the world's largest freelancing marketplace with 24m+ jobs, Customer segmentation rules are applied, and OLAP capabilities are used for further analysis, The goal for our project is to develop as model that predicts the success of a bank marketing campaign based on the features we have in out data, Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be ('yes') or not ('no') subscribed This repository contains a Python analysis of the Bank Marketing dataset from the UCI Machine Learning Repository, EDA The data is related with direct marketing campaigns of a Portuguese banking institution, In this work, Python is used as a coding language and Machine learning concept is used as statistical learning for data analysis, The main reason of using machine learning is to build a predictive model to produce the better prediction, Effective marketing … Reports from Bank Project End-to-end Excel ↔ PDF data processing pipeline with real-world data cleaning, rejected-row tracking, analytical report generation, and automated PDF creation, By analyzing features from the dataset, the goal is to develop a predictive model that helps optimize marketing strategies and improve campaign efficiency Chapter 3DATA PREPARATION 3, It's free to sign up and bid on jobs, csv) consists of demographics data on 41,188 people, Download Open Datasets on 1000s of Projects + Share Projects on One Platform, Dec 28, 2022 · The data directly impact to your machine learning model and its accuracy, uci, The dataset contains information collected during a bank’s direct marketing , Explore and run machine learning code with Kaggle Notebooks | Using data from Bank Term Deposit Dataset Apr 27, 2023 · Exploring Bank Marketing: An Analysis using the Bank-Additional-Full Dataset Introduction In today’s highly competitive banking industry, marketing is critical for success, This comprehensive 11-part series will take you from raw data to actionable insights using a fascinating banking dataset, I apologize for my level of English, Instead, you'll work with actual marketing campaign Jul 26, 2020 · Using Data Mining for Bank Direct Marketing: An Application of the CRISP-DM Methodology, 117-121, Guimarães, Portugal, October, 2011, The people were asked if they will subscribe a term deposit (yes/no), Search for jobs related to Bank marketing data set analysis in python or hire on the world's largest freelancing marketplace with 24m+ jobs, - akhil12028/Bank-Marketing-data-set-analysis Telemarketing campaign about term depositsSomething went wrong and this page crashed! If the issue persists, it's likely a problem on our side, Flexible Data Ingestion, Using Python, we conducted exploratory data analysis (EDA), applied feature engineering, and built multiple classification models to identify potential loan customers, Bank Marketing The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution, Bank of America financial center is located at 5707 Seminary Rd Baileys Crossroads, VA 22041, e data is related to bank marketing campaigns of banking institution based on phone call, Our data is related with direct marketing campaigns of a Portuguese banking institution, Jun 3, 2023 · python data-science machine-learning random-forest svm jupyter-notebook prediction classification logistic-regression financial-analysis bank-marketing uci-dataset Updated on May 16, 2024 Jupyter Notebook Performed Univariate, Bivariate and Multivariate analysis on the different attributes of The bank telemarketing data using Python, Bank Marketing Data Set, Oct 22, 2025 · If you're looking to break into data analysis or sharpen your Python skills with real-world datasets, you've come to the right place, You will need to modify values, add new features, convert data types, and save data into multiple files, This campaign’s objective is to induce clients to sign up for one of the bank's financial products (term deposit is taken into consideration here), Includes SMOTE for class imbalance handling, visualizations for insights, and feature engineering to enhance predictions, csv), Designed for audit-ready, client-grade workflows and freelancer portfolios, Apr 1, 2020 · Data-Analytics and Logistic Regression for Bank Marketing Dataset This is my first article on Medium and I hope it will serve the community, Whether a prospect had bought the product or not is mentioned in the column named 'response', The marketing team wants to launch another campaign, and they want to learn from the past one, The target variable is y (column # 21 The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution, Aakash Kaku Abstract—Data from a marketing campaign run by Banco de Portugal is examined, The smallest dataset is provided to test more computationally demanding machine learning algorithms (e, csv with 10% of the examples (4119), randomly selected from bank-additional-full, Find an "interesting" data set to work with, - Bharat-R This data science project predicts the likelihood of bank customers accepting personal loans, developed as a personal project to enhance marketing campaigns for banking products, The classification Sep 1, 2023 · This motivates us to build a software tool for predictive analysis of bank marketing based on data mining from customer profiles, In this notebook, you will apply your data-cleaning skills to process information about marketing campaigns run by a bank, This project focuses on predicting customer subscription to term deposits using historical data from direct marketing campaigns, edu/ml/datasets/Bank+Marketing), Logistic The classification goal is to predict if the client will subscribe a term deposit (variable y), The outcome of Aug 17, 2020 · This banking data was retrieved from Kaggle and there will be a breakdown on how the dataset will be handled from EDA (Exploratory Data Analysis) to Machine Learning algorithms, The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution, Bank of America financial center is located at 1369 Chain Bridge Rd McLean, VA 22101, csv : Data used for the analysis README, Contribute to Lexie88rus/bank-marketing-analysis development by creating an account on GitHub, Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be ('yes') or not ('no') subscribed, Practice and apply your data skills with curated datasets in DataLab Nov 8, 2023 · EDA and Model Building on Bank Marketing Campaign Dataset using Python and RapidMiner Abstract EDA or Exploratory Data Analysis is a technique typically performed at the beginning of a data Analysis of bank marketing campaign data, Contribute to SouRitra01/Exploratory-Data-Analysis-EDA-in-Banking-Python-Project- development by creating an account on GitHub, Analysis of a dataset that contains information on Portugal bank marketing campaign results, Instead, you'll work with actual marketing campaign Explore this free Bank Marketing dataset, csv, The marketing campaigns were based on phone calls, import pandas as pd import numpy as np import matplotlib, The dataset to our problem is taken from the UCI Machine Learning Repository: Bank Marketing Data Set Input variables: Explore and run machine learning code with Kaggle Notebooks | Using data from Bank marketing campaigns dataset | Opening Deposit May 30, 2025 · This project explores customer behavior using the Bank Marketing dataset to predict term deposit subscriptions, EDA Project using Python & Pandas Framework, In machine learning and statistics, classification is the problem of identifying to which of a set of categories (sub-populations) a new observation belongs, based on a training set of data containing observations (or instances) whose category membership is known, May 28, 2021 · Predicting Whether a Client Will Subscribe to a Term Deposit by Analyzing a Bank Marketing Dataset Photo by Chris Liverani on Unsplash In this article, I’ll be explaining step by step how to develop a Multi-Layer Perceptron model, ipynb : This is ipython notebbok with the python code for analysis and results Bank Marketing Data Analysis, Novais et al, Bank Marketing Data Set The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution, This comprehensive 11-part series will take you from raw Contribute to Sonariya/Portuguese-Bank-Marketing-project development by creating an account on GitHub, The dataset used is similar to the Bank Marketing dataset from the UCI Machine Learning Repository, Only save your User ID on your personal computer or mobile device, The data is related to bank marketing campaigns of banking institution based on phone call, The function explores data, conducts analysis, and provides insights for decision-making, Oct 15, 2025 · If you’re looking to break into data analysis or sharpen your Python skills with real-world datasets, you’ve come to the right place, Case study for a famous bank marketing data set, - Labels · maityashim/Machine-Learning-Project-on-Bank-Marketing-Data-Set Remember to put the data set in the same folder as your python file For this project, the bank marketing dataset1 will be used and it can be downloaded from the course’s datasets folder (bank_marketing_data, The classification goal is to predict if the client will subscribe a term deposit Apr 16, 2022 · This is a Bank Marketing Machine Learning Classification Project in fulfillment of the Udacity Azure ML Nanodegree, Bank of America financial center is located at 5226 Langston Blvd Arlington, VA 22207, The Aug 29, 2023 · Mastering Imbalanced Classification: XGBoost and SMOTE + ENN on Bank Marketing Data With Python by Gustiyan Islahuzaman Introduction In the realm of machine learning, classification stands as a … Bank Marketing Classification using scikit-learn library to train and validate classification models like Logistic Regression, Decision Tree, Random Forest, Naïve Bayes, Neural Network and Support Vector Machine, It includes EDA, feature engineering, model training, class imbalance handling, and e Oct 22, 2025 · If you're looking to break into data analysis or sharpen your Python skills with real-world datasets, you've come to the right place, Jun 20, 2021 · Principal Component Analysis, or PCA, is a dimensionality-reduction method that is often used to reduce the dimensionality of large data sets, by transforming a large set of variables into a Aug 11, 2023 · Let’s first import the libraries we will need, and then our dataset, The dataset that Jul 31, 2024 · How to Use This Data Exploring the Data Load the dataset into a data analysis environment like R or Python, The data set (bank-additional-full, ics, Bank of America financial center is located at 6307 Arlington Blvd Falls Church, VA 22044, The marketing campaigns were based on phone ca… This is a Bank Marketing Machine Learning Classification Project in fulfillment of the Udacity Azure ML Nanodegree, We can see that the conversion rate in 2010 was much higher than previous years Jun 3, 2023 · Marketing refers to activities undertaken by a company to promote the buying or selling of a product or service, This repository provides an in-depth analysis of a banking institution's marketing campaign dataset to predict term deposit subscriptions using machine learning techniques, To aid with the campaign evaluation for Data cleaning is an essential skill for data engineers, encompassing reading, modifying, splitting, and storing data, The classification goal is to predict if the client will subscribe a term deposit, Marketing includes advertising, selling, and delivering products to consumers or other businesses, We will use a data set from the Bank Marketing data set from the UCI ML Archive (http://archive, The dataset contains information about a bank's marketing campaigns and customer attributes, providing a rich resource for exploration and insights, This project focuses on analyzing customer churn and predicting whether a customer is likely to churn using machine learning techniques, There are four datasets: 1) bank-additional-full, Given the context of our bank marketing data set, we aim to detect the clients who will subscribe a term deposit given the features, A machine learning project to predict whether a bank client will subscribe to a term deposit based on marketing campaign data, Installations: Python 3, - bsr11272/Bank-Mark About Performed exploratory data analysis on bank marketing dataset using Python to improve the customer experience, The files and documentation with experiment instructions needed for replicating the project is … Apr 6, 2024 · A Python function that simulates the role of a junior business analyst in a bank marketing campaign analysis scenario, Decision Tree Classification and Naive Bayes Classification are used for Data Set Information: The data is related with direct marketing campaigns of a Portuguese banking institution, Our branch conveniently offers drive-thru ATM services, com, the bank can more accurately locate the target customers, so as to improve the efficiency Dec 15, 2021 · Deal Banking Marketing Campaign Dataset With Machine Learning In this blog, we will use data related to marketing campaigns (phone calls) of a Portuguese banking institution, The dataset considered for the project is 10% of the UCI bank Marketing dataset available online, The goal is to use machine learning techniques to predict whether a client will subscribe to a term deposit based on various features provided in the dataset, Also conducted comparative study on the above models when applied on different feature sets obtained via feature selection (Chi-Square Test), feature transformation (Principal About The analysis of bank marketing campaigns based on a publicly available dataset from Kaggle, using Streamlit for interactive visualizations, To do that, I will be taking a dataset related to direct marketing campaigns (phone calls) of […] Mar 23, 2024 · This project focuses on predicting customer subscription to term deposits using historical data from direct marketing campaigns, Creating a logistic regression model using python on bank data, to find out if the customer has subscribed to a specific plan or not - Lakshya-Ag/Bank-Marketing-Logistic-Regression Data and goals In this project we study di erent approachs to predict the sucess of bank telemarketing, Bank Telemarketing Campaign Case Study: In this case study I will be doing clustering and Exploratory Data Analytics (EDA) with the help of a case study on "Bank marketing campaign", In this project, you will learn to utilize Azure Machine Learning Studio and Azure Python SDK to create classifier models from scratch, Working for 5 Project goal: The data we will be using (more below) is a bank marketing data set, What makes this series different? We're not using toy datasets or simplified examples, Examples of classification problems are assigning a given email to the "spam" or "non-spam" class, and assigning a diagnosis to a About This project focuses on analyzing the Bank Marketing Dataset using Python and SQLite for a comprehensive data analysis, (Eds, In this work, Python is used as a codin language and Machine learning concept is used as statistical learning for data analysis, Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More, Here we are using a Bank Marketing Kaggl e data set, This dataset is about the direct phone call marketing campaigns, which aim to promote term deposits among existing customers, by a Portuguese banking institution from May 2008 to November 2010, It writes the analyzed data to a set of relational database tables and updates FACT Tables in a Datawarehouse, Find the nearest location to open a CD, deposit funds and more, Data-driven decision-making helps the bank stay ahead of its competitors and plan for both the short and long term while making informed decisions, Missing a potential “yes” could be more costly than false positives, as it represents a lost opportunity for the sales team to transform this potential customer, Bank_Marketing_Campaign_Data_Analysis_Using_Python-Logistic_Regression- I have used Bank Campaign Marketing dataset for doing analysis of it and applied Logistic regression upon to classify new customers if they will ready to opt for deposit or not based upon current campaign data, May 11, 2019 · Beginners Guide to EDA-Exploratory Data Analysis on a Real Data Set using Numpy & Pandas in Python! When working on a new dataset in order to take intelligent action, you need to understand your … May 15, 2020 · Using Machine Learning to Predict Subscription to Bank Term Deposits for Clients with Python Bank Marketing with Machine Learning using Scikit-Learn “No great marketing decisions have ever been … Feb 27, 2019 · This data is ordered from May 2008 to Nov 2010 but there is no year variable in the data set, so we added it, The dataset includes details about various bank marketing campaigns, customer demographics, and outcomes, customer segments, and factors influencing campaign success, This project analyzes the Bank Marketing dataset from Kaggle using various feature selection techniques to improve model performance, Business problem The dataset contains information on a marketing campaign, including client details and previous campaign outcomes, Jan 1, 2022 · Through the analysis of the time deposit telemarketing data of Portuguese commercial banks on Kaggle, - Releases · maityashim/Machine-Learning-Project-on-Bank-Marketing-Data-Set Performed Univariate, Bivariate and Multivariate analysis on the different attributes of The bank telemarketing data using Python, The files and documentation with experiment instructions needed for replicating the project is … Bank Marketing Data Set, Statistics has also been used in the process, By analyzing features from the dataset, the goal is to develop a predictive model that helps optimize marketing strategies and improve campaign efficiency, Dec 30, 2024 · As part of my data science journey, I developed a Decision Tree Classifier using the Bank Marketing dataset to predict whether a customer would purchase a product or service, com, the bank can more accurately locate the target customers, so as to improve the efficiency Sep 1, 2023 · This motivates us to build a software tool for predictive analysis of bank marketing based on data mining from customer profiles, The classification goal is to predict if the client will subscribe a term deposit (variable y), The analysis aims to identify factors that influence a client's decision to subscribe to a term deposit, facilitating the development of more effective bank marketing strategies, In P, You, as an analyst, decide to build a supervised model in R/Python and achieve the following PROJECT - Python DOMAIN – FINANCE TOPIC - Bank Marketing Analysis PROBLEM STATEMENT: The problem is that the Bank Marketing campaigns of a Portuguese banking institution need to identify the Sep 24, 2023 · In this comprehensive guide, we’ll journey through the bank marketing dataset, embracing the structured approach of the CRISP-DM methodology, Nov 8, 2022 · Exploratory data analysis (EDA) is about getting an overall understanding of data, Built using Python, scikit-learn, and visualization tools for effective feature analysis and model evaluation, This repository Dec 20, 2021 · This article will be focused on my exploration of data collected by the Portuguese banking institution within the period from 2008 to 2010, The data is related with direct marketing campaigns which were based on phone calls, Apr 5, 2020 · The data- set that we will use is the publicly available ‘ Bank Marketing Data Set ‘ , from The UCI Machine Learning Repository, which is a collection of databases, domain theories and data generators that are used by the machine learning community to test their algorithms, Saving your User ID means you don't have to enter it every time you log in, Performed Univariate, Bivariate and Multivariate analysis on the different attributes of The bank telemarketing data using Python, The project includes data preprocessing, missing value treatment, outlier detection, correlation analysis, and categorical variable impact assessment to identify key factors influencing customer subscription rates, Three classification algorithms have been developed in order to predict the target variable, Get answers to the most popular FAQs and easily contact us through either a secure email address, a mailing address or our customer service phone numbers, Using knowledge from the course, a number of machine learning algorithms are implemented to answer the question: How can banks successfully market these products in the most efficient way Analysis of the UCI Bank Marketing dataset with Python, featuring data preprocessing, EDA, and predictive modeling using Random Forest,