Employee Attrition Prediction in Apache Spark (ML) Project

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

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!

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