Bank marketing data set analysis
WebHave experience from my working. 3.1. More than 5 years working experience to successfully implement on production more than 70 user requirement of. 3.1.1. Using Teradata Database in very large dataset such as banking transaction. 3.1.2. Using complex SQL for Teradata used for transform data to table, improve SQL performance. 3.2. 2 … WebJan 29, 2024 · Bank marketing dataset analysis Importing Libraries. Read Train Data. Read Test Data. Preprocessing the data. Checking for null values. Data Visualization. …
Bank marketing data set analysis
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WebExplore and run machine learning code with Kaggle Notebooks Using data from Bank Marketing Dataset. code. New Notebook. table_chart. New Dataset. emoji_events. New Competition. ... Bank Marketing Analysis Python · Bank Marketing Dataset. Bank … WebData-Analysis-on-Bank-Marketing-Data-set. Clustering and Classification Intro: Tele-marketing was first initiated to make customers familiar with the products/ services a firm is offering and to get the customers to purchase that product/ service. This lead to help the firm in banking sector to grow their customer count by establishing interest ...
WebApr 11, 2024 · Chapter 1: Exclusive Summary of the Retail Banking Service market. Chapter 2: Objective of Study and Research Scope the Retail Banking Service market. Chapter 3: Porters Five Forces, Supply/Value ... WebData Set Information: The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. 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. Attribute Information:
WebMay 11, 2024 · 1. bank-additional-full.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., 2014] WebThis is a modified version of the classic bank marketing data set originally shared in the UCI Machine Learning Repository. There are four datasets available on UCI's repository: 2) bank-additional.csv with 10% of the examples (4119), randomly selected from 1), and 20 inputs. 3) bank-full.csv with all examples and 17 inputs, ordered by date ...
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WebI have over 5 years of experience working within various industries. Some of these include finance, accounting, data analytics, and marketing & sales. I take pride in mastering soft skills and ... builth wells walksWebJul 26, 2024 · The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls. Often, more than one contact to the same client was required, in order to access if the product (bank term deposit) would be (or not) subscribed. There are two datasets: 1) bank-full.csv with … builth wells vetsWebThis diverse exposure combined with my personal life background, translated into a rich set of practical skills in Sales, Marketing, brand management, PR, Digital media, Data analysis, product development and highly advanced writing skills. معرفة المزيد حول تجربة عمل Alaa Kayyali , MBA وتعليمه وزملائه ... crunch freeze membership nyWebThe data relate to a phone‐based direct marketing campaign conducted by a bank in Portugal. The bank was interested in whether or not the contacts would subscribe to a term deposit account with the bank. The bank_marketing_training data set contains 26,874 records, while bank_marketing_test contains 10,255 records. Unlock full access. crunch friscoWebA Portuguese retail bank addressed, from 2008 until 2013, data on its clients, products and social-economic attributes including the effects of the financial crisis. An original set of 150 ... crunch frontaliWebtechniques are applied to a bank’s direct marketing data set. The data set obtained from the UCI machine learning repository website is imbalanced. Thus, some oversampling methods are used to enhance the accuracy of the prediction of a client’s subscription to a term deposit. Visualization efficiency is tested crunch free youth passWebApr 12, 2024 · Bank Marketing Data Set Classification April 12, 2024 9 minute read . The aim of this projects is to explain how machine learning can help in a bank marketing campaign.The goal of our classifier is to predict using the logistic regression algorithm if a client may subscribe to a fixed term deposit. crunch free t shirt