Differential private anomaly detection using Apache Spark and Apache MXNet on a public bank maketing dataset from UCI.
In this case study I will be doing Exploratory Data Analytics with the help of a case study on Bank marketing campaign.
This repository contains the analysis of customer responses to a bank marketing campaign regarding the decision to open or decline a deposit. The analysis involves Exploratory Data Analysis (EDA) and Machine Learning Classfication.
This is my Project for STAT 652. Here I analyze and train models using data collected by a Bank's Marketing Campaign to determine whether a client will subscribe to a term deposit or not.
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