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Apache Spark Machine Learning Project (House Sale Price Prediction)

person icon Bigdata Engineer

4.2

Apache Spark Machine Learning Project (House Sale Price Prediction)

Apache Spark Machine Learning Project (House Sale Price Prediction) for beginner using Databricks Notebook (Unofficial)

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Bigdata Engineer

English [CC]

category icon Development,Data Science and AI ML,Machine Learning

Lectures -15

Resources -2

Duration -1 hours

4.2

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Course Description

Apache Spark Machine Learning Project (House Sale Price Prediction) for beginners using Databricks Notebook (Unofficial) (Community edition Server) 

In this Data Science Machine Learning project, we will predict the sales prices in the Housing data set using LinearRegression one of the predictive models.

  • Explore Apache Spark and Machine Learning on the Databricks platform.

  • Launching Spark Cluster

  • Create a Data Pipeline

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

  • Hands-on learning

  • Real time Use Case 

  • Publish the Project on the Web to Impress your recruiter 

  • Graphical Representation of Data using Databricks notebook.

  • Transform structured data using SparkSQL and DataFrames


Predict sales prices 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.

Goals

What will you learn in this course:

  • In this course you will implement Spark Machine Learning Project House Sale Price Prediction 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
  • Graphical  Representation of Data using Databricks notebook.
  • Transform structured data using SparkSQL and DataFrames

Prerequisites

What are the prerequisites for this course?

  • Apache Spark basic and Scala fundamental knowledge is required and SQL 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.
Apache Spark Machine Learning Project (House Sale Price Prediction)

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction
2 Lectures
  • play icon Introduction 03:45 03:45
  • play icon Download Resources
Project Begins
12 Lectures
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Instructor Details

Bigdata Engineer

Bigdata Engineer

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