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    100% Discount || Heart Attack and Diabetes Prediction Project in Apache Spark

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    Heart Attack and Diabetes Prediction Project in Apache Spark

    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
    Apache Spark Project – Heart Attack and Diabetes Prediction Project in Apache Spark Machine Learning Project (2 mini-projects) for beginners using Databricks Notebook (Unofficial) (Community edition Server)

    In this Data science Machine Learning project, we will create

    1) Heart Disease Prediction

    2) Diabetes Prediction

    using a few algorithms of the predictive models.

    Explore Apache Spark and Machine Learning on the Databricks platform.

    Launching Spark Cluster

    Process that data using a Machine Learning model (Spark ML Library)

    Hands-on learning

    Real time Use Case

    Create a Data Pipeline

    Publish the Project on Web to Impress your recruiter

    Graphical Representation of Data using Databricks notebook.

    Transform structured data using SparkSQL and DataFrames

    Data exploration using Apache Spark

    1) Heart Disease Prediction using Decision Tree Classification Model

    2) Diabetes Prediction using Logistic Regression Model and One-vs-Rest classifier (a.k.a. One-vs-All) Model

    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


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