Machine Learning with PySpark: Customer Churn Analysis

Learn to use PySpark to build a machine learning model for predicting customer churn in a Telecommunications company. This comprehensive guided-project covers essential tasks such as data loading, exploratory data analysis, preprocessing, feature preparation, model training, evaluation, and deployment, all using PySpark.

Throughout the guided-project, you'll gain hands-on experience with different steps required to create a machine learning model in PySpark, providing you with the tools to deliver an AI-driven solution for customer churn. Prerequisites include basic knowledge of Machine Learning and Decision Trees, as well as familiarity with Python programming concepts such as loops, if statements, and lists.

• Use AI-driven solution to solve a business problem
• Build a machine learning model with PySpark
• Apply data cleansing activities using PySpark