Heart Attack and Diabetes Prediction Project in Apache Spark

Data Science Apache Spark Heart Attack and Diabetes Prediction Project in Apache Spark

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What you’ll learn:
  • In this course you will implement Spark Machine Learning Project 2 Mini Projects in Apache Spark using Databricks Notebook (Community edition server)
  • Launching Apache Spark Cluster
  • Process that data using a Machine Learning model (Spark ML Library)
  • Hands-on learning
  • Create a Data Pipeline
  • Real-time Use Case
  • Publish the Project on Web to Impress your recruiter
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

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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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