Volver a Machine Learning for Telecom Customers Churn Prediction
Opiniones y comentarios de aprendices correspondientes a Machine Learning for Telecom Customers Churn Prediction por parte de Coursera Project Network
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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.
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1 - 2 de 2 revisiones para Machine Learning for Telecom Customers Churn Prediction
por Vinoth S U
•13 de jul. de 2021
Great path to learn ML Algorithm
por Marco T
•12 de abr. de 2021
Course was good and clear
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