Heart Attack And Diabetes Prediction Project In Apache Spark

Language: English
Created by: Bigdata Engineer
Rate: 3.2/ 27 ratings
Enroll: 6,143 students

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

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