Disease Prediction 2 Projects in Apache Spark(ML) for beginners using Databricks Notebook (Unofficial) Community edition

This course includes:

  • 3 hours on-demand video
  • 2 articles
  • 3 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

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