Employee Attrition Prediction in Apache Spark (ML) Project

Employee Attrition Prediction in Apache Spark (ML) Project

Employee attrition Prediction in Apache Spark (ML) & HR Analytics Employee Attrition & Performance project for beginners



Sub Category

  • Data Science

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Objectives

  • In this course we will implement Spark Machine Learning Project Employee Attrition Prediction in Apache Spark using Databricks Notebook (Community server)
  • Launching Apache Spark Cluster
  • Process that data using a Machine Learning model (Spark ML Library)
  • Hands-on learning
  • Explore Apache Spark and Machine Learning on the Databricks platform.
  • Real-time Use Case
  • Create a Data Pipeline
  • Publish the Project on Web to Impress your recruiter
  • Workforce Data Analysis: Explore and preprocess large-scale HR datasets to uncover patterns and trends.
  • Feature Engineering for HR: Identify and engineer key factors like job satisfaction, performance, and workload that influence employee attrition.
  • Machine Learning Pipelines: Build scalable predictive models using Spark MLlib to forecast attrition risks.
  • Model Optimization & Evaluation: Fine-tune your machine learning models to maximize prediction accuracy and business impact.
  • Data-Driven Insights: Learn how to translate model predictions into actionable strategies for improving employee retention.


Pre Requisites

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


FAQ

  • Q. How long do I have access to the course materials?
    • A. You can view and review the lecture materials indefinitely, like an on-demand channel.
  • Q. Can I take my courses with me wherever I go?
    • A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!



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