Machine Learning with Apache Spark 3.0 using Scala

Machine Learning with Apache Spark 3.0 using Scala with Examples and 4 Projects

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Feb 20, 2023 - 10:02 Updated: Feb 18, 2023 - 23:14
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Machine Learning with Apache Spark 3.0 using Scala
Machine Learning with Apache Spark 3.0 using Scala

Machine Learning with Apache Spark 3.0 using Scala udemy course

Machine Learning with Apache Spark 3.0 using Scala with Examples and 4 Projects

What you'll learn:

  • You will Build Apache Spark Machine Learning and Analytics Projects (Total 5 Projects)
  • Explore Apache Spark and Machine Learning on the Databricks platform.
  • Launching Spark Cluster
  • Create a Data Pipeline
  • Process that data using a Machine Learning model (Spark ML Library)
  • Hands-on learning
  • Real-time Use Case
  • Publish the Project on Web to Impress your recruiter

Requirements:

  • Apache Spark basic and Scala fundamental knowledge is required and SQL Basics along with Machine Learning
  • Following browsers on Windows, Linux or macOS desktop:
  • Google Chrome (Latest version), Firefox (Latest version), Safari (Latest version), Microsoft Edge* (Latest version)
  • Internet Explorer 11* on Windows 7, 8, or 10 (with latest Windows updates applied)
  • *You might see performance degradation for some features on Microsoft Edge and Internet Explorer.
  • The following browsers are not supported:
  • Mobile browsers.
  • Beta, “preview,” or otherwise pre-release versions of desktop browsers.

Description:

Machine Learning with Apache Spark 3.0 using Scala with Examples and Project


“Big 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) Overview

2) What is Spark ML

3) Types of Machine Learning

4) Steps Involved in the Machine learning program

5) Basic Statics

6) Data Sources

7) Pipelines

8) Extracting, transforming and selecting features

9) Classification and Regression

10) Clustering


Projects:

1) Will it Rain Tomorrow in Australia

2) Railway train arrival delay prediction

3) Predict the class of the Iris flower based on available attributes

4) Mall Customer Segmentation (K-means) Cluster


In 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.

Who this course is for:

Course Details:

  • 7.5 hours on-demand video
  • 2 articles
  • 6 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

Machine Learning with Apache Spark 3.0 using Scala udemy free download

Machine Learning with Apache Spark 3.0 using Scala with Examples and 4 Projects

Demo Link: https://www.udemy.com/course/machine-learning-with-apache-spark-3-using-scala/

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