Employee Attrition Prediction in Apache Spark (ML) Project

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

Created by: Bigdata Engineer
Bigdata Engineer

What Will I Learn?

• 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.

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.

Target audience

• Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer, Machine Learning Engineer, Data Scientist
• Data Scientists & Analysts seeking hands-on experience in predictive modeling for workforce analytics.
• HR Professionals & Leaders eager to leverage data science to enhance retention strategies and optimize workforce planning.
• Big Data Professionals looking to apply Apache Spark to solve human capital challenges.