Skip to content

We examine the relationship between variables in a fictional Telco customers dataset. The techniques used are Factor Analysis of Mixed Data and logistic regression.

Notifications You must be signed in to change notification settings

ElenaPadgett/FAMD-and-Logistic-Regression

Repository files navigation

FAMD-and-Logistic-Regression

The dataset used is from IBM Business Analytics Community. According to the description, "the Telco customer churn data contains information about a fictional telco company that provided home phone and Internet services to 7043 customers in California" [IBM Sample Data Sets].

The data contains 7043 observations (customers) and 21 variables (customer's attributes).

The analysis steps and results are described in FAMD_and_Logistic_Regression_Results_(Telco Churn Dataset).docx

About

We examine the relationship between variables in a fictional Telco customers dataset. The techniques used are Factor Analysis of Mixed Data and logistic regression.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published