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Mathematical Statistics for Health Researchers
Mathematical Statistics for Health Researchers
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Program 2
Document
Program 1
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bsts
Week 8 assignment
Scripts of joins and aggregates of sf sf and tables.
Predicting Prospective Customers Using Naïve Bayes, Decision Tree, and Random Forest Models
Make predictions about potential customers of a bank in Portugal—whether they subscribe to a term deposit (“Yes”) or not (“No”).
Churn Analysis Using Logistic Regression and K-NN Model
Conduct churn analysis using two machine learning models Logistic Regression and K-NN. The dataset used is
`WA_Fn-UseC_-Telco-Customer-Churn.csv`, which contains customer data from a telecommunications company.
