Telecom-Customer-Churn-Prediction

The data was downloaded from IBM Sample Data Sets. https://www.ibm.com/communities/analytics/watson-analytics-blog/guide-to-sample-datasets/ "Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs." [IBM Sample Data Sets] Each row represents a customer, each column contains customer’s attributes described on the column Metadata. The raw data contains 7043 rows (customers) and 21 columns (features). The “Churn” column is our target.

K-Means-Clustering-in-Python-with-scikit-learn

In Machine Learning, the types of Learning can broadly be classified into three types: 1. Supervised Learning, 2. Unsupervised Learning and 3. Semi-supervised Learning. Algorithms belonging to the family of Unsupervised Learning have no variable to predict tied to the data. Instead of having an output, the data only has an input which would be multiple variables that describe the data. This is where clustering comes in.