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Employee Attrition Prediction in Apache Spark (ML)

 Employee attrition Prediction in Apache Spark (ML) & HR Analytics Employee Attrition & Performance project for beginners.New
 Employee Attrition Prediction in Apache Spark (ML)
3.7 (2 ratings)
25 students enrolled
Created by Bigdata Engineer
 
What you'll learn
  • In this course you will implement Spark Machine Learning Project Employee Attrition Prediction in Apache Spark using Databricks Notebook (Community edition server)
  • Launching Apache Spark Cluster
  • Process that data using a Machine Learning model (Spark ML Library)
  • Hands-on learning
Requirements
  • Apache Spark basic and Scala fundamental knowledge is required and SQL Basics along with Machine Learning basics
  • 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
Spark Machine Learning Project (Employee Attrition Prediction) for beginners using Databricks Notebook (Unofficial) (Community edition Server)

In this Data science Machine Learning project, we will create Employee Attrition Prediction Project using Decision Tree Classification algorithm one of the predictive models.

  • Explore Apache Spark and Machine Learning on the Databricks platform.
  • Launching Spark Cluster
  • Process that data using a Machine Learning model (Spark ML Library)
  • Hands-on learning
  • Real time Use Case

Employee Attrition Prediction a Real time Use Case on Apache Spark

About Databricks:
Databricks lets you start writing Spark ML code instantly so you can focus on your data problems.
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