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    Employee Attrition Prediction in Apache Spark (ML) Project

    Posted By: lucky_aut
    Employee Attrition Prediction in Apache Spark (ML) Project

    Employee Attrition Prediction in Apache Spark (ML) Project
    Last updated 2023-03-14
    Duration: 02:23:16 | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 985 MB
    Genre: eLearning | Language: English [Auto]

    Employee attrition Prediction in Apache Spark (ML) & HR Analytics Employee Attrition & Performance project for beginners
    What you'll 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.
    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.

    Who this course is for:
    Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer, Machine Learning Engineer, Data Scientist

    More Info