Employee Attrition Prediction in Apache Spark (ML) Project

Course Overview

• Course Title: Employee Attrition Prediction in Apache Spark (ML) Project
• Instructor: Bhavesh Bhadricha
• Target Audience:
  • Data Scientists & Analysts
  • HR Professionals & Leaders
  • Big Data Professionals
• Prerequisites:
  • Apache Spark basic
  • Scala fundamental knowledge
  • SQL Basics
  • Machine Learning basics

Curriculum Highlights

• Key Topics Covered:
  • Launching Apache Spark Cluster
  • Processing data using a Machine Learning model (Spark ML Library)
  • Hands-on learning
  • Real-time Use Case
  • Creating a Data Pipeline
  • Publishing the Project on Web
  • Workforce Data Analysis
  • Feature Engineering for HR
  • Machine Learning Pipelines
  • Model Optimization & Evaluation
  • Data-Driven Insights
• Key Skills Learned:
  • Exploring Apache Spark and Machine Learning on the Databricks platform
  • Building scalable predictive models using Spark MLlib
  • Fine-tuning machine learning models
  • Translating model predictions into actionable strategies
  • Graphical Representation of Data using Databricks notebook
  • Transforming structured data using SparkSQL and DataFrames

Course Format

• Duration: 2.5 hours on-demand video
• Format: Self-paced online course
• Resources:
  • 2 articles
  • 2 downloadable resources
  • Access on mobile and TV
  • Certificate of completion