Heart Attack and Diabetes Prediction Project in Apache Spark
4.1 (10 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
62 students enrolled

Heart Attack and Diabetes Prediction Project in Apache Spark

Disease Prediction 2 Projects in Apache Spark(ML) for beginners using Databricks Notebook (Unofficial) Community edition
4.1 (10 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
62 students enrolled
Created by Bigdata Engineer
Last updated 3/2020
English
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Current price: $13.99 Original price: $19.99 Discount: 30% off
5 hours left at this price!
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This course includes
  • 3 hours on-demand video
  • 2 articles
  • 3 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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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
Course content
Expand all 19 lectures 02:55:43
+ Project Basics
6 lectures 29:08
Introduction to Spark
04:17
Free Account creation in Databricks
01:51
Provisioning a Spark Cluster
02:15
Basics about notebooks
07:29
Dataframes
04:47
+ Heart Disease Prediction Project
5 lectures 01:21:22
Project Explanation Part 1
02:30
Project Explanation Part 2
19:41
Project Explanation Part 3
35:11
Project Explanation Part 4
22:01
Project Explanation Part 5
01:59
+ Diabetes Prediction Project
6 lectures 01:00:02
Project Explanation Part 1
01:25
Project Explanation Part 2
15:13
Project Explanation Part 3
15:25
Project Explanation Part 4
26:47
Project Explanation Part 5
00:20
Bonus Lecture
00:52
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