ML with Spark on Google Cloud Dataproc
The purpose of this course is to provide students with the opportunity to develop practical, cloud-based machine learning skills. It focuses on the use of Apache Spark to teach logistic regression modeling on Google Cloud.
Description for ML with Spark on Google Cloud Dataproc
Features of the Course:
Key Features:
Self-Paced Lab: Offers flexible, autonomous learning within the Google Cloud console, ensuring convenience and accessibility.
Implementation of Logistic Regression: Emphasizes the practical applications of machine learning by utilizing Apache Spark to teach logistic regression.
Google Cloud Dataproc: Uses Google Cloud�s Dataproc cluster, acquainting learners with cloud-centric data processing.
Multivariable Dataset Analysis: Participants are guided through the process of creating a model for analyzing complicated, multivariable datasets.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 1 (English)
Offered by: On Coursera provided by Google CloudDuration:1 hr 30 mins (approximately)
Schedule: Project-based
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