ML with PySpark: Customer Churn Analysis
Develop a machine learning model using PySpark to forecast customer attrition and acquire practical experience in AI-driven business solutions.
Description for ML with PySpark: Customer Churn Analysis
Features of the Course:
Solution for Business Issues Driven by AI: Utilize artificial intelligence (AI) to develop machine learning models that are designed to address real-world business challenges, such as the prediction of consumer churn.
Developing a Machine Learning Model with PySpark: Acquire practical experience with PySpark to efficiently construct, train, and assess machine learning models.
PySpark Data Cleansing: Master the application of fundamental data purification techniques to guarantee the production of high-quality data that is suitable for the development of precise models.
Customer Churn Prediction: Concentrate on identifying the factors that contribute to consumer churn, thereby offering businesses actionable insights to enhance retention.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Coursera provided by Coursera Project Network
Duration: 2 hours at your own pace
Schedule: Hands-on learning
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