Bank marketing data set github - akhil12028/Bank-Marketing-data-set-analysis Relevant Information: This dataset is based on "Bank Marketing" UCI dataset (please check the description at: http://archive. The goal of this project is to predict whether a client subscribes to a term-deposit, segmenting the customers into different clusters and find some valuable insights which will be helpful for future campaigns. The data was collected as a marketing campaign to predict if a customer would make a term deposit in the bank. Automate any workflow Packages. core. The classification goal is to predict if the client will subscribe a term deposit (variable y). It's easy and free to establish your own databases GitHub is where people build software. Contribute to fabianozonta/UCI-Bank-Marketing-dataset development by creating an account on GitHub. md at master · akhil12028/Bank-Marketing-data-set-analysis. Contribute to thirumalalagu/Bank-Marketing-DataSet development by creating an account on GitHub. ics. - vaadewoyin/Bank-term-deposit-subscription Data Set Information: The data is related with direct marketing campaigns of a Portuguese banking institution. 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 Preprocessing the Bank Marketing dataset. About. The main points of EDA are: Univariate and Bivariate Analysis ML project with marketing data. You signed out in another tab or window. Dataset Used - UCI Bank Marketing Dataset. In our context, missing a potential positive case is more significant Dec 16, 2021 · Data Set Information: The data is related with direct marketing campaigns of a Portuguese banking institution. Bank Marketing Data Set. - mnurbani97/Banking_Marketing The UCI Bank Marketing Dataset is a collection of data related to direct marketing campaigns of a Portuguese banking institution. md at master · wyfok/Bank_Marketing_Data_Set GitHub is where people build software. md: This file, providing an overview of the project; bank_marketing. The marketing team wants to launch another campaign, and they want to learn from the past one. csv with all examples and 17 inputs, ordered by date (older version of this dataset with The classification goal is to predict if the client will subscribe a term deposit (variable y). to its customers. md at master · maityashim/Machine-Learning-Project-on-Bank-Marketing-Data-Set Before using any models, SMOTE algorithm is used to adjust the imbalanced data. OBJECTIVE - To identify the attributes that have the highest impact on clients who are likely to subscribe to a term deposit. kaggleの公開データセット“Bank Marketing Dataset”を元にした分析の練習 Resources Here is the files for you to run this graphs in a streamlit dashboard - romulocrp/bank_marketing_data_analysis Predicting if a client will subscribe to term deposit or not based on dataset from Portuguese Banking institution available at UCI machine learning repository - shivam7066/Bank-Marketing-Data-Analy Data Processing: Everything before data goes into model. AI-powered developer Data Science Case Study. Recall indicates the model’s ability to identify true positive cases—clients subscribing to a term deposit. Reload to refresh your session. Raw. - akhil12028/Bank-Marketing-data-set-analysis After doing some visualization and preprocessing, I splitted data in two set: train and test and I did crossvalidation over all models and used test set just one time after selecting the best model. The goal is to get to a good model which runs end-to-end and play with some considerations as if we where to put it into production. Code. csv The project aims to analyze the Portuguese Bank Marketing dataset and predict weather the client will subscribed to the term deposit. The data is related with direct marketing campaigns of a Portuguese banking institution. Often, more than one contact to the same client was required, in order to assess if the product (bank term deposit) would be ('yes') or not ('no') subscribed. Today organizations, which hire data scientists are especially interested in job candidate's portfolio. Laureano and P. Also conducted Contribute to agberg/bank_marketing_data development by creating an account on GitHub. html: This file, providing quick overview at glance of the dataset; bank-marketing-dataset: This file, providing dataset of the project Since married clients is the biggest cluster, has higher marketing campaign efficiency and loyalty, marketing team should target them as the most valuable segment of bank customers. md at master · Bo-L/UCI-Bank-Marketing-Data-Set You signed in with another tab or window. In The data set is from direct marketing campaigns of a Portuguese banking institution. Enterprise-grade security The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. marketing bank ml uci data-set bank-marketing bank-data bank Contribute to llhthinker/MachineLearningLab development by creating an account on GitHub. Automate any workflow GitHub community articles Repositories. The data brought into a certain form was finally tested with 5 different machine learning algorithms and selected according to the bank_cust = bank_cust. - anshul-20/Bank-Marketing-Analysis Bank Marketing Data Set Binary Classification in python Topics machine-learning deep-learning random-forest naive-bayes artificial-intelligence classification artificial-neural-networks logistic-regression binary-classification feature-importance bank-marketing The classification goal is to predict if the client will subscribe a term deposit (variable y). Often, more than one contact to the same client was The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. You switched accounts on another tab or window. R # # Created by Zhenye(Zayne) Na on 2/1/18 # # Programming Assessment Bud Lab – Summer 18’ Internship # # Data preprocessing for Bank Marketing Data Set Contribute to llhthinker/MachineLearningLab development by creating an account on GitHub. Attribute Information: This is the course project of Data Warehousing and Data Mining Technology at Peking University. drop('age',axis = 1) # dropping the age attribute # label encoding for textual features (all categorical columns) le = preprocessing. Topics Trending Collections Enterprise Enterprise platform. An analysis of the dataset of the bank's marketing campaign to help the bank optimize its operations and strategies to attract more customers Analyzing a dataset named Bank Marketing using Classification concepts, particularly Random Forest, XGBoost, Decision Tree, SVM, and KNN to predict whether customers have subscribed to term deposit products from banking institutions or not. Bank Marketing Data Set Classification With Machine Learning Using Naive Bayes - Xylverize/Data-Set-Classification-Naive-Bayes. marketing bank ml uci data-set bank-marketing bank-data bank Contribute to sol-eng/bank_marketing_data development by creating an account on GitHub. Whether a prospect had bought the product or not is mentioned in the column named 'response'. DataFrame'> RangeIndex: 41188 entries, 0 to 41187 Data columns (total 21 columns): # Column Non-Null Count Dtype --- ----- ----- ----- 0 age 41188 non-null int64 1 job 41188 non-null object 2 marital 41188 non-null object 3 education 41188 non-null object 4 default 41188 non-null object 5 housing 41188 non-null object 6 loan 41188 non-null object 7 Performed Univariate, Bivariate and Multivariate analysis on the different attributes of The bank telemarketing data using Python. - GitHub - yanhaojin/Bank-Marketing-Data-Analysis uci bank marketing dataset Problem statement: The data is related with direct marketing campaigns of a Portuguese banking institution. Often, more than one contact to the same client was required, in order to access if Using data cleaning and database design skills to author a script that sets up tables in a PostgreSQL database for bank marketing campaigns - Bikash231/Designing-a-Bank-Marketing-Database Abstract: The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. To improve for more significant results, we could have had much more data and also worked on treating missing values as outlier values. csv. The classification goal is to predict if the client will subscribe a term deposit (v Contribute to Homaoa/Classification-for-a-Bank-Marketing-Data-Set development by creating an account on GitHub. AI-powered developer The Bank Marketing Dataset provides valuable insights into customer interactions with a bank’s marketing campaigns. - Actions · wyfok/Bank_Marketing_Data_Set Problem Statement: Bank has set up a marketing campaign, to predict whether a customer will subscribe the term deposit or not. The data is enriched Apr 12, 2021 · There are four datasets: 1) bank-additional-full. edu/ml GitHub is where people build software. Sources: Created by: Paulo Cortez (Univ. Contribute to TheAnuska/Bank-Marketing-Dataset development by creating an account on GitHub. Enterprise-grade security The data is related to direct marketing campaigns of a Portuguese banking institution. Bank Marketing Data Set Binary Classification in python GitHub community articles Repositories. Attribute Information: Obtaining the data; Scrubing (or cleaning) the data; Exploring and visualizing the data; Modeling; INterpreting the results; Project goal: The data we will be using (more below) is a bank marketing data set. The dataset used was the Bank Marketing Data Set which was obtained from the UCI Machine Learning Repository. Analyzing the Bank Marketing dataset using various data mining techniques to predict if the costumer subscribe term deposit. - akhil12028/Bank-Marketing-data-set-analysis More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. Automate any Contribute to YolandaManurung/Classification-Bank-Marketing-Dataset-using-Big-Data-Architecture 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 Contribute to vijaygr8/Bank-Marketing-Data-Set development by creating an account on GitHub. Write better code with AI / UCI Bank Marketing Data Set / data / bank-additional / bank-additional-full. GitHub is where people build software. Given the context of our bank marketing data set, we aim to detect the clients who will subscribe a term deposit given the features. Find and fix vulnerabilities Actions. Topics Trending Bank-Marketing-Prediction/ ├── Data/ │ └── [dataset files downloaded from Kaggle] Bank Marketing data classification. I combined the Exploration Data Analysis with the feature engineering process. Automate any 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. data contains: the original data downloaded at UCI Bank Marketing Data Set,. Such analysis will definetely be a nice contribution to the protfolio. Find and fix vulnerabilities Actions Task 1: Classification Problem : "Bank Marketing Data Set" source: https://archive. Logistics model, SVM model, and Decision Tree model are applied. - aman5319/Bank-Marketing-Analysis Contribute to Smrootkey/Bank_marketing_dataset_analysis development by creating an account on GitHub. Missing a potential “yes” could be more costly than false positives, as it represents a lost opportunity for The bank provides financial services/products such as savings accounts, current accounts, debit cards, etc. uci. ML Model to predict if a client is going to subscribe to the next campaign - Bank_Marketing_Data_Set/ at main · ZaimAchraf/Bank_Marketing_Data_Set The Bank Marketing Data Set considered for this project is a small portion (10%) of the entire available data set. Often, more than one contact to the same client was required, in order to access if the Bank Marketing Data Set Binary Classification in python GitHub community articles Repositories. var_names = data. It contains 41,188 observations with 20 features: Client Attributes (age, job, marital status, education, housing loan status, personal loan status, default history): These features describe characteristics of the clients that may influence their propensity to subscribe Bank_Marketing_Dataset_Analysis_with_Feature_Selection. Skip to content. Preprocessing bank marketing dataset using python, numpy and pandas - Jeffresh/preprocessing-bank-dataset. This project consists of client, server and database, aiming to visualize the distribution of the Bank Marketing Data Set. columns. Title: Bank Marketing: 2. Contribute to ShilpaPBhat/Bank-Marketing-Data-Set development by creating an account on GitHub. Using Data Mining for Bank Direct Marketing: An Application of the CRISP-DM Methodology. Ensemble methods and SVM are also compared for classification in this data via ROC curve. R at master · amymkalna/Kaggle-Bank-Marketing-Data Data Set Information: The data is related with direct marketing campaigns of a Portuguese banking institution. Write better code with AI Kesci 网的提供银行精准营销解决方案的练习题目，数据选自 UCI 机器学习库中的「银行营销数据集(Bank Marketing Data Set)」。 Contribute to Homaoa/Classification-for-a-Bank-Marketing-Data-Set development by creating an account on GitHub. You can find a description of the Contribute to nhat31032k/Bank-Marketing-dataset development by creating an account on GitHub. # Data_Preprocessing. - Bank-Marketing-data-set-analysis/readme. Part of Machine Learning coursework. Contribute to lexmass/ml_bank_marketing development by creating an account on GitHub. Logistic Regression on the “Bank Marketing” UCI dataset - Atul-47/Bank-Marketing-Data-Analysis. Top. In order to evaluate efficiency of the future marketing campaign that targets married customers, we should check whether mentioning cluster in the data improves predictions. Find and fix / UCI Bank Marketing Data Set / code / train_data. Contribute to gogoymh/R-Visualize-Bank-Marketing-DataSet development by creating an account on GitHub. The "Bank Marketing Data Set" from the UCI Machine Learning Repository is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. More information about the data set is available on the UCI machine learning repository and the relevant publication based on this data set. 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. - GitHub - sstliao/Classification-on-Bank-Marketing-Data-Set-to-predict-client-s-intention-of-a-term-subscription: Before using any models, SMOTE algorithm is used to adjust the imbalanced data. There are 21 attributes provided which can be divided into the bank client information, campaign data, and social and economic index. Application of Machine Learning algorithms on Bank Marketing Dataset(UCI) - harsh21476/Machine-Learning-on-Bank-Marketing-Dataset. Sign in Product Analysis of the Bank Marketing Data Set. Contribute to llhthinker/MachineLearningLab development by creating an account on GitHub. Write better code with AI Data Set Information: The data is related with direct marketing campaigns of a Portuguese banking institution. Constructing distance matrix. Find and fix vulnerabilities Actions Contribute to ssathiraabhi/Bank-Marketing-Data-Set development by creating an account on GitHub. Automate any The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. HarvardX: PH125. You signed in with another tab or window. 5. Data Set Information: The data is related with direct marketing campaigns of a Portuguese banking institution. funcs contains commonly used function across the codes. For this binary classification I tried diffrent machine learning algorithms: Logistic Regression, Decision Tree, Random Forest, Gradient Boosting. - Kotler and Armstrong (2010). frame. csv with all examples (41188) and 20 inputs, ordered by date (from May 2008 to November 2010), very close to the data analyzed in [Moro et al. Find and fix The data-set is related with direct marketing campaigns (were based on phone calls) of a banking institution. In order to increase its overall revenue, the bank conducts various marketing campaigns for its financial products such as credit cards, term deposits, loans, etc. GitHub community articles Repositories. It is highly relevant for data scientists , financial analysts , and marketing professionals looking to predict customer behavior and optimize marketing strategies. The classification goal is to predict if the client will subscribe a term deposit (variable y) The data is related with direct marketing campaigns of a Portuguese banking institution. - Bank_Marketing_Data_Set/README. The files and documentation with experiment instructions needed for replicating the project is provided for Clustering and Classification. - GitHub - cghimire/Bank-Marketing-Data-Mining: Analyzing the Bank Marketing dataset using various Data Science is a field that extracts meaningful information from data and helps marketers in discerning the right insights. The Portuguese Bank had run a telemarketing campaign in the past, making sales calls for a term-deposit product. Contribute to adinasa22/portuguese_banking development by creating an account on GitHub. After that, I have extensively conducted the data cleaning in which the order of the ordinal data is maintained so that the machine generates productive meaningful insights and then I have tried building the models on Logistic Regression, Naive Bayes, KNN algorithms to predict which customers are likely to convert into a successful lead for a certain financial product offering by The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. Various data preprocessing, data analysis, data visualization and data scaling were performed in the project. There are four datasets: 1) bank-additional-full. The dataset considered for the project is 10% of the UCI bank Marketing dataset available online. 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 Exploratory Data Analysis in R on Bank Marketing Dataset. Past Usage: The full dataset was described and analyzed in: S. Topics Trending Collections Enterprise The data is related to direct marketing campaigns (phone calls) of a Portuguese banking institution. This project mainly utilizes ‘Classification’ techniques to examine a data set related to marketing campaigns of a Portuguese bank. This is a Bank Marketing Machine Learning Classification Project in 2 days ago · There are four datasets: bank-additional. apply(le. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. # Bank Marketing Dataset ## Marketing Introduction: The process by which companies create value for customers and build strong customer relationships in order to capture value from customers in return. These insights can be on various marketing aspects such as customer intent, experience, behavior, etc that would help them in efficiently optimizing their marketing strategies and derive maximum revenue. AI-powered developer This aim of this project is to build a simple credit model using bank data from UCI [1]. Machine learning project using UCI bank marketing data set - bowcai/bank-analysis. - akhil12028/Bank-Marketing-data-set-analysis This is a Bank Marketing Machine Learning Classification Project in fulfillment of the Udacity Azure ML Nanodegree. The information collected from their clients during the campaign was completely or partially recorded for each client in bank marketing data set. The data set has about 4119 rows of data with 19 features and 1 column of Class information. 53 MB. ML Model for Bank Marketing Dataset. Sign in Product Actions. Contribute to srikarane/Data-Analysis-on-Bank-Marketing-Data-set development by creating an account on GitHub. The dataset has 4119 rows with 19 features. , 2014] 2) bank Apr 16, 2019 · Bank Marketing Data Set The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. LabelEncoder() bank_cust = bank_cust. Host and manage packages Security. This exploratory data analysis was performed on Bank Marketing Dataset from UCI Machine Learning repository. Automate any UCI Bank Marketing dataset. Analyzing the Impact of Attributes on Term Deposit Subscriptions in Portuguese Banking Marketing Campaigns. GitHub Gist: instantly share code, notes, and snippets. . Topics The dataset is sourced from the UCI Machine Learning Repository's Bank Marketing Data Set. Contribute to alexkataev/Case-Study-UCI-Bank-Marketing-Dataset development by creating an account on GitHub. Find and fix vulnerabilities Codespaces The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. edu/ml/datasets/Bank+Marketing - PradeepMedagiri/Classification-and-Regression This repository presents a classification project to predict if a client will subscribe to a term deposit or not. - Labels · Bo-L/UCI-Bank-Marketing-Data-Set Predict Customer Subscription to Term Deposits using Bank Marketing Data Set. The classification goal is to predict if the Dec 10, 2023 · In our bank marketing dataset, we prioritize recall. Apr 16, 2022 · Bank Marketing data is used to train a model, which is later operationalized using MLOps in Azure. - maityashim/Machine-Learning-Project-on-Bank-Marketing-Data-Set The data is related with direct marketing campaigns of a Portuguese banking institution. 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 Part of Machine Learning coursework. Write better code with AI Security. Write better code with AI / UCI Bank Marketing Data Set / code / preprocess_data. Predictive Analysis on Kaggle Bank Marketing Dataset GitHub community articles Repositories. - UCI-Bank-Marketing-Data-Set/README. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. More than 150 million people use GitHub to discover, Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to This repository contains a Python script that analyzes the "Bank Marketing" dataset from the UCI Machine Learning Bank Marketing Data Set. The analysis of bank marketing campaigns based on a publicly available dataset from Kaggle, using Streamlit for interactive visualizations. Class reweighing and undersampling was done to address the class imbalance in the dataset. Often, more than one contact to t Contribute to ssathiraabhi/Bank-Marketing-Data-Set development by creating an account on GitHub. The dataset includes details about various bank marketing campaigns, customer demographics, and outcomes, customer segments, and factors influencing campaign success. The goal of the dataset is to predict whether a client will subscribe to a term deposit (variable y), based on various socio-economic factors and details of the marketing campaign. The goal is to predict if the client will subscribe a term deposit This is a sample code repository that leveraged "Bank Marketing Dataset" from Kaggle to explore the dataset, perform EDA and predict the deposit likelihood. Performed Univariate, Bivariate and Multivariate analysis on the different attributes of The bank telemarketing data using Python. This was not a huge dataset. Cortez. py. In this project, you will learn to utilize Azure Machine Learning Studio and Azure Python SDK to create classifier models from scratch. You, as an analyst, decide to build a supervised model in R/Python The purpose of the data, on the other hand, is to predict whether the persons whose information is obtained can obtain a loan from the bank. This project uses AdaBoost with a Decision Tree base estimator to predict customer responses to a bank marketing campaign, leveraging the Bank Marketing Dataset. Case Study Findings - The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. bank-full. This is my first machine learning project. The classification goal is to predict if the client will subscribe a term deposit Aug 28, 2024 · 背景 数据共41188条，选自UCI机器学习库中的「银行营销数据集(Bank Marketing Data Set)」，这些数据与葡萄牙银行机构的营销活动相关。 这些 营销 活动以电话为基础，一般， 银行 的客服人员需要联系客户至少一次，以 To Visualize Bank Marketing Data using R. Contribute to semnan-university-ai/Bank-Marketing development by creating an account on GitHub. Advanced Security. - GitHub - Reik96/Bank_Marketing_Project: This is my first machine learning project. Moro, R. Navigation Menu Toggle navigation. In Data Set Information: The data is related with direct marketing campaigns of a Portuguese banking institution. Data Scientists, Machine Learning Engineers, students, & anybody that is just interested; Those interested in sampling techniques for classification The objective here is to apply machine learning techniques to analyse the dataset and figure out most effective tactics that will help the bank in next campaign to persuade more customers to subscribe to banks term The "Bank Marketing Data Set" from the UCI Machine Learning Repository is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. 1. Add a description, image, and links to the bank-marketing-data-set topic page so that developers can more easily learn about it. Marketing campaigns are characterized by focusing on the customer needs and their overall satisfaction. All gists Back to GitHub Sign in Sign up Sign in Sign up You signed in with another tab or window. 9x Data Science: Capstone Bank Marketing Analysis Project - Kaggle-Bank-Marketing-Data/Bank Marketing Data Analysis Final. ipynb: Jupyter notebook containing the full analysis; README. Sign in Product GitHub community articles Repositories. - 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. Sign in Product GitHub Copilot. Approach: Performed Univariate/ Bivariate/ Multivariate analysis to understand the trend and pattern among the predictors and target variable, used Cross-Tabulation, Data visualization using seaborn and matplotlib. - Issues · akhil12028/Bank-Marketing-data-set-analysis Contribute to Tapasyan/Exploratory_data_analysis development by creating an account on GitHub. fit_transform) data_ = np. To improve, it would be necessary to have significantly more data. - n-aghaebrahim/Customer-Subscription GitHub is where people build software. The marketing campaigns were based on phone calls. Topics Trending You signed in with another tab or window. AI-powered developer platform Available add-ons. The database I use is MySQL. Customer Classification based on the UCI Bank Marketing data set. Minho) and Sérgio Moro (ISCTE-IUL) @ 2012: 3. Analysis of organization's marketing data is one of the most typical applications of data science and machine learning. edu/ml/datasets/Bank+Marketing). File metadata and controls. Contribute to kunalBhashkar/Bank-Marketing-Data-Set-Classification development by creating an account on GitHub. The main issues of the dataset are: Preprocessing required to fill unknown values in the dataset The classification goal is to predict if the client will subscribe a term deposit (variable y). tolist() # Categorical vars: categs = Data analytics project in M1, using unsupervised machine learning algorithms (K-MEANT, ACP, ACC ) on Bank Marketing Data Set form http://archive. Bank Marketing data classification. - Machine-Learning-Project-on-Bank-Marketing-Data-Set/README. The data is related with direct marketing campaigns (phone calls) of a Portuguese banking institution. Blame. csv with 10% of the examples (4119), randomly selected from 1), and 20 inputs. The data is related with direct marketing campaigns and links to the bank-marketing-dataset-analysis topic page so Case study for a famous bank marketing data set. - Bo-L/UCI-Bank-Marketing-Data-Set The data is related with direct marketing campaigns of a Portuguese banking institution. - maityashim/Machine-Learning-Project-on-Bank-Marketing-Data-Set Skip to content The classification goal is to predict if the client will subscribe a term deposit (variable y). Navigation Menu GitHub community articles Repositories. - maityashim/Machine-Learning-Project-on-Bank-Marketing-Data-Set <class 'pandas. array(bank_cust) # converting pandas dataframe into numpy array # converting numpy array to 2-D List: data = [] Bank Marketing Data Set.
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