Employee Attrition Prediction in Apache Spark (ML) Project



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

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.

English
language

Content

Introduction

Introduction

Download Resources

Download Resources

Project Begins

Introduction to Spark
Free Account creation in Databricks
Provisioning a Spark Cluster
Introduction to Machine Learning
Basics about notebooks
Dataframes
File Content
Project Explaination Part 1
Project Explaination Part 2
Project Explaination Part 3
Project Explaination Part 4
Project Explaination Part 5
Project Explaination Part 6
Project Explaination Part 7
Project Explaination Part 8
Important Lecture
Bonus Lecture

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