Home AI Courses ML with PySpark: Customer Churn Analysis

ML with PySpark: Customer Churn Analysis

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Develop a machine learning model using PySpark to forecast customer attrition and acquire practical experience in AI-driven business solutions.

Key AI Functions:data pre-processing,machine learning,exploratory data analysis,pyspark,model evaluation,ai & machine learning

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Description for ML with PySpark: Customer Churn Analysis

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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