Bank telemarketing dataset tableau

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WebMy goal is to merge my engineering experience with the utility business with my knowledge of analytical systems to develop a decision support system for Charlotte Water. My core … http://www.m-hikari.com/ams/ams-2014/ams-113-116-2014/vajiramedhinAMS113-116-2014.pdf

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WebThe results of the study St. Theresa Journal of Humanities and Social Sciences Vol.7, No.1 January-June 2024 92 also provide insightful information to banks for making telemarketing policy ... WebDownload Table Bank marketing data set descriptions from publication: IBMMS Decision Support Tool for Management of Bank Telemarketing Campaign Although direct marketing is a good method for ... iaf afcat apply

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WebOur team members value being challenged, are encouraged to express their ideas, and build strong relationships with leadership to effectively deliver contemporary data … WebSalesforce and Tableau A complete intelligence platform built on the world’s #1 CRM, Salesforce, CRM Analytics offers banking institutions a native analytics experience. To … Weblearning model, for the new transactions recorded by the bank in the dataset predict the new customer response by the trained model. Three Machine Learning models were used, and a comparative study is produced to investigate bank telemarketing dataset which was recorded previously to take a decision. The ML Software development life moltofill holzspachtel

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WebThe 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 … WebData Science Teaching Assistant. Jun 2024 - Sep 20244 months. Remote. • Supporting Senior Data Scientists in teaching a data science bootcamp. • Assisting students with issues relating to ... iaf a cut above for pcWebApr 11, 2024 · The data is related with direct marketing campaigns of a Portuguese banking institution.The marketing campaigns were based on phone calls. Often, more … molto fairfield ct menu

"WebNew Dataset. emoji_events. New Competition. No Active Events. Create notebooks and keep track of their status here. add New Notebook. auto_awesome_motion. 0. 0 Active Events. ... 【ML Project】Bank Telemarketing Analysis Python · Portuguese Bank Marketing Data Set 【ML Project】Bank Telemarketing Analysis. Notebook. Input. … " - Bank telemarketing dataset tableau

Bank telemarketing dataset tableau

Vol. 10, No. 7, 2024 Visualization and Analysis in Bank Direct ...

WebDec 8, 2024 · The authors proposed a Data mining (DM) way to deal with foresee the achievement of telemarketing calls for selling bank long term deposits. A Portuguese … Webthe achievement of Bank Telemarketing. V. DATA COLLECTION As referenced above, the dataset comprises direct marketing campaign information of a banking organization. The …

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WebApr 6, 2024 · Get the latest real estate data and statistics by zip code, county, metro, state and the U.S. broken down by property type, price tiers, house size, and number of … WebAn unexpected error occurred. If you continue to receive this error please contact your Tableau Server Administrator.

WebWith the information provided below, you can explore a number of free, accessible data sets and begin to create your own analyses. The following COVID-19 data visualization is representative of the the types of visualizations that can be created using free public data sets. Explore it and a catalogue of free data sets across numerous topics below. WebSep 1, 2024 · Portuguese-Bank-Marketing-project. Citation Request: This dataset is publicly available for research. The details are described in [Moro et al., 2014]. Please include this citation if you plan to use this database: [Moro et al., 2014] S. Moro, P. Cortez and P. Rita. A Data-Driven Approach to Predict the Success of Bank Telemarketing.

WebGuide, tutorial & exercises for learning basics of business data analysis & visualization with Tableau & data.world. Project with 1 linked dataset 8 projects 8 files. Tagged. tableau tutorial exercise data science visualization + 3. 418.

WebThese campaigns are intended for the bank’s existing customers. However, the marketing campaigns need to be cost-efficient so that the bank not only increases their overall revenues but also the total profit. You need to apply your knowledge of EDA on the given dataset to analyse the patterns and provide inferences/solutions for the future ...

WebThe results from the classification experiments on the bank telemarketing dataset is given in Table 6, consisting the detailed percentage for accuracy, precision, and recall percentage of each ... iaf agnipath notificationWebThe paper is organized as follows: Section 2 presents the bank data and DM approach; Section 3 describes the experiments conducted and analyzes the obtained results; nally, conclusions are drawn in Section 4. 2 Materials and Methods 2.1 Bank telemarketing data This research focus on targeting through telemarketing phone calls to sell long- molto forte weinWebJun 26, 2024 · A dataset from the UCI repository consisting of information about the retail bank processed data on its customers, products, and socioeconomic attributes, including the impact of the financial crisis. iaf agniveer application formWebThe dataset is composed of 21 attributes including a label attribute shown in Table 1. 3 Proposed Approach In this study, the proposed approach used to enhance the predictive rate of the bank telemarketing dataset is a correlation-based feature subset selection algorithm and a dataset balancing technique. The study uses the dataset balancing iaf agneepath recruitment 2022WebAug 13, 2024 · The dataset is initially gathered from the UCI Machine learning repository and the Kaggle site. The information is identified with bank marketing efforts of banking … molto fliesen fix grau toomWebJun 28, 2024 · Bank Telemarketing Data. ... The dataset consists of 45211 rows with only about 5289 successful calls. The columns of y, default, housing and loan all contained yes or no values so I mapped them ... iaf afcatWebNov 15, 2024 · The experimental results were run on a real bank dataset and the J48 decision tree achieved 94.39% accuracy prediction, with 0.975 sensitivity and 0.709 specificity, showing better results when ... iaf agnipath login