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Employee Attrition Prediction in Apache Spark (ML) Project


  • Apache Spark primary and Scala elementary information is required and SQL Fundamentals together with Machine Studying fundamentals
  • Following browsers on Home windows, Linux or macOS desktop:
  • Google Chrome (Newest model), Firefox (Newest model), Safari (Newest model), Microsoft Edge* (Newest model)
  • Web Explorer 11* on Home windows 7, 8, or 10 (with newest Home windows updates utilized)
  • *You would possibly see efficiency degradation for some options on Microsoft Edge and Web Explorer.
  • The next browsers should not supported:
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Spark Machine Studying Project (Employee Attrition Prediction) for learners utilizing Databricks Pocket book (Unofficial) (Group version Server)

On this Knowledge science Machine Studying challenge, we’ll create Employee Attrition Prediction Project utilizing Determination Tree Classification algorithm one of many predictive fashions.

  • Discover Apache Spark and Machine Studying on the Databricks platform.
  • Launching Spark Cluster
  • Create a Knowledge Pipeline
  • Course of that knowledge utilizing a Machine Studying mannequin (Spark ML Library)
  • Fingers-on studying
  • Actual time Use Case
  • Publish the Project on Net to Impress your recruiter
  • Graphical Illustration of Knowledge utilizing Databricks pocket book.
  • Rework structured knowledge utilizing SparkSQL and DataFrames

Employee Attrition Prediction a Actual time Use Case on Apache Spark

About Databricks:

Databricks helps you to begin writing Spark ML code immediately so you’ll be able to focus in your knowledge issues.

Who this course is for:

  • Newbie Apache Spark Developer, Bigdata Engineers or Builders, Software program Developer, Machine Studying Engineer, Knowledge Scientist

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