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

• Create a Data Pipeline

• Process that data using a Machine Learning model (Spark ML Library)

• Hands-on learning

• Real time Use Case

• Publish the Project on Web to Impress your recruiter

• Graphical Representation of Data using Databricks notebook.

• Transform structured data using SparkSQL and DataFrames

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.

Are you ready to tackle one of the most pressing challenges in HR and workforce management? This project-based course will guide you through building an Employee Attrition Prediction Model using Apache Spark, equipping you with the skills to help organizations retain top talent and reduce turnover costs.

Employee attrition impacts productivity, morale, and business outcomes, making predictive insights a powerful tool for HR leaders. In this hands-on course, you’ll master big data analytics and machine learning techniques to analyze workforce data, predict attrition risks, and deliver actionable recommendations. By the end, you’ll have a real-world project in your portfolio and the confidence to use data science to drive smarter HR decisions.

What You’ll Learn:

• 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.

Real-World Benefits:

• Practical HR Solutions: Solve real-world business challenges by predicting and mitigating employee attrition.

• Portfolio-Worthy Project: Showcase a high-impact project to demonstrate your expertise in big data and predictive analytics.

• Career Growth: Position yourself as a data professional capable of delivering insights that transform organizational outcomes.

Who Should Enroll:

• 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.

Become the go-to expert in predictive workforce analytics! Enroll now to master Apache Spark, build an Employee Attrition Prediction Model, and make a real impact on organizational success.

Who this course is for:

• 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.