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TORRENT DETAILS
Udemy - Spark Machine Learning Project (House Sale Price Prediction)
TORRENT SUMMARY
Status:
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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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