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Employee Attrition Prediction in Apache Spark (ML) Project

  • Development
  • Dec 16, 2024
SynopsisEmployee Attrition Prediction in Apache Spark (ML Project, a...
Employee Attrition Prediction in Apache Spark (ML) Project  No.1

Employee Attrition Prediction in Apache Spark (ML) Project, available at $54.99, has an average rating of 4.35, with 21 lectures, based on 35 reviews, and has 8146 subscribers.

You will learn about 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 This course is ideal for individuals who are Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer, Machine Learning Engineer, Data Scientist It is particularly useful for Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer, Machine Learning Engineer, Data Scientist.

Enroll now: Employee Attrition Prediction in Apache Spark (ML) Project

Summary

Title: Employee Attrition Prediction in Apache Spark (ML) Project

Price: $54.99

Average Rating: 4.35

Number of Lectures: 21

Number of Published Lectures: 21

Number of Curriculum Items: 21

Number of Published Curriculum Objects: 21

Original Price: $19.99

Quality Status: approved

Status: Live

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
  • Who Should Attend

  • Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer, Machine Learning Engineer, Data Scientist
  • Target Audiences

  • Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer, Machine Learning Engineer, Data Scientist
  • 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.

    Course Curriculum

    Chapter 1: Introduction

    Lecture 1: Introduction

    Chapter 2: Download Resources

    Lecture 1: Download Resources

    Chapter 3: Project Begins

    Lecture 1: Introduction to Spark

    Lecture 2: (Old) Free Account creation in Databricks

    Lecture 3: (New) Free Account creation in Databricks

    Lecture 4: Provisioning a Spark Cluster

    Lecture 5: Introduction to Machine Learning

    Lecture 6: Basics about notebooks

    Lecture 7: Tips to Improve Your Course Taking Experience

    Lecture 8: Dataframes

    Lecture 9: File Content

    Lecture 10: Project Explaination Part 1

    Lecture 11: Project Explaination Part 2

    Lecture 12: Project Explaination Part 3

    Lecture 13: Project Explaination Part 4

    Lecture 14: Project Explaination Part 5

    Lecture 15: Project Explaination Part 6

    Lecture 16: Project Explaination Part 7

    Lecture 17: Project Explaination Part 8

    Lecture 18: Important Lecture

    Lecture 19: Bonus Lecture

    Instructors

  • Employee Attrition Prediction in Apache Spark (ML) Project  No.2
    Bigdata Engineer
    Bigdata Engineer
  • Rating Distribution

  • 1 stars: 2 votes
  • 2 stars: 3 votes
  • 3 stars: 6 votes
  • 4 stars: 8 votes
  • 5 stars: 16 votes
  • Frequently Asked Questions

    How long do I have access to the course materials?

    You can view and review the lecture materials indefinitely, like an on-demand channel.

    Can I take my courses with me wherever I go?

    Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!