Telecommunications Customer Segmentation + KNN Clustering
This project aims to classify customers of a telecommunications provider into four predefined service usage groups using demographic data. By predicting group membership with K-Nearest Neighbors (KNN), the company can tailor offers for individual prospective customers.
Project overview
This project aims to classify customers of a telecommunications provider into four predefined service usage groups using demographic data. By predicting group membership with K-Nearest Neighbors (KNN), the company can tailor offers for individual prospective customers.
Python Data Preprocessing & Analysis Libraries : scikit-learn,pandas,matplotlib,seaborn,numpy K Nearest Neighbors
Approach & tools
Python Data Preprocessing & Analysis · Libraries : scikit-learn,pandas,matplotlib,seaborn,numpy · K Nearest Neighbors
Project impact
The classification model enables the telecommunications provider to deliver personalized offers, enhancing customer engagement and potentially boosting revenue.
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