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Machine Learning with Apache Spark 3.0 using Scala with Examples and 4 Projects
An excellent training about Data Science
Machine Learning with Apache Spark 3.0 using Scala
Machine Learning with Apache Spark 3.0 using Scala with Examples and ProjectBig data” analysis is a hot and highly valuable skill and this course will teach you the hottest technology in big data: Apache Spark. Employers including Amazon, eBay, NASA, Yahoo, and many more. All are using Spark to quickly extract meaning from massive data sets across a fault-tolerant Hadoop cluster. You’ll learn those same techniques, using your own Operating system right at home. So, What are we going to cover in this course then?Learn and master the art of Machine Learning through hands-on projects, and then execute them up to run on Databricks cloud computing services (Free Service) in this course. Well, the course is covering topics: 1) Overview2) What is Spark ML3) Types of Machine Learning4) Steps Involved in the Machine learning program5) Basic Statics6) Data Sources 7) Pipelines8) Extracting, transforming and selecting features9) Classification and Regression10) ClusteringProjects:1) Will it Rain Tomorrow in Australia2) Railway train arrival delay prediction3) Predict the class of the Iris flower based on available attributes4) Mall Customer Segmentation (K-means) ClusterIn order to get started with the course And to do that you’re going to have to set up your environment. So, the first thing you’re going to need is a web browser that can be (Google Chrome or Firefox, or Safari, or Microsoft Edge (Latest version)) on Windows, Linux, and macOS desktop This is completely Hands-on Learning with the Databricks environment.
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