Employee Attrition Prediction in Apache Spark (ML) Project
Employee attrition Prediction in Apache Spark (ML) & HR Analytics Employee Attrition & Performance project for beginners
4.06 (39 reviews)
10,245
students
2.5 hours
content
Nov 2024
last update
$54.99
regular price
What you will 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.
2419732
udemy ID
6/19/2019
course created date
9/18/2019
course indexed date
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