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.
logistic regression,google cloud platform,dataset,apache spark,ai & machine learning
Description for ML with Spark on Google Cloud Dataproc
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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