Machine Learning for Telecom Customers Churn Prediction

About this guided project

In this hands-on project, we will train several classification algorithms such as Logistic Regression, Support Vector Machine, K-Nearest Neighbors, and Random Forest Classifier to predict the churn rate of Telecommunication Customers. Machine learning help companies analyze customer churn rate based on several factors such as services subscribed by customers, tenure rate, and payment method. Predicting churn rate is crucial for these companies because the cost of retaining an existing customer is far less than acquiring a new one. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

What skills will you gain?

Machine Learning

Artificial Intelligence and Machine Learning (AI/ML)

Applied Machine Learning

Machine Learning Software

Business Analytics

Scikit Learn (Machine Learning Library)

Data Science

Advanced Analytics

Artificial Intelligence

Predictive Modeling

Predictive Analytics