uci machine learning repository bank marketing data set
Bankcsv with 10 randomly selected from 3 older. Bank Marketing Data Set Example Project Description.
Github Dsjl Ml Bank Marketing Build Machine Learning Algorithms For Bank Telemarketing
There are twenty input variables in this datasets and one output variable in which customer has subscribed to.
. Check out the beta version of the new UCI Machine Learning Repository we are currently testing. In order to fit machine learning algorithms all the categorical variables. In order to answer this we have to analyze the last marketing campaign the bank performed and identify the patterns that will help us find conclusions in order to develop future strategies.
The data is related to bank marketing campaigns of banking institution based on phone call. Contact us if you have any issues questions. There are four datasets.
The data is related with direct marketing campaigns of a Portuguese banking institution. In this datasets there are five social and economic features. The relationships between the economic data are non-linear.
The dataset used here is from UCI - Machine Learning Repository. This data set is originally from the Bank Marketing data set UCI Machine Learning Repository. Bank-additional-fullcsv 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.
Data set is taken from UCI Machine Learning repository. Economic data is not normally distributed. The dataset is originally collected from UCI Machine learning repository and Kaggle website.
It contains only the following. 1 bank-additional-fullcsv with all examples 41188 2 bank-additionalcsv with 10 of the examples 4119. This repository contains examples of various data science project components performed on a bank marketing data set.
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