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Employee Attrition Prediction in Apache Spark (ML) Project

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

3.9 / 5.0
1273 students2 hours 22 minutes

Created by Bigdata Engineer, offered on Udemy

bestcourses score™

Student feedback

4/10

To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 1273 students which left 13 reviews at an average rating of 3.9, which is below the average.

Course length

8.9/10

We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 2 hours 22 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 7 hours 54 minutes.

Overall score

5.1/10

This course currently has a bestcourses score of 5.1/10, which makes it an average course. Overall, there are probably better courses available for this topic on our platform.

Description

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.

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

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.
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Frequently asked questions

  • Price: $19.99
  • Platform: Udemy
  • Language: English
  • 2 hours 22 minutes
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bestcourses score: 5.1/10

There might be better courses available for this topic.