Udemy - Spark Machine Learning Project (House Sale Price Prediction)

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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 44100 Hz

Language: English | VTT | Size: 543 MB | Duration: 1 hours

What you'll learn

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



Requirements

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.

Description

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.



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