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- Use Case

Publish the Project on Web to Impress your recruiter

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 bners 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 Use Case

Publish the Project on Web to Impress your recruiter

Transform structured data using SparkSQL and DataFrames

Predict sales prices a Real 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:

Bner Apache Spark Developer, Bigdata Eeers or Developers, Software Developer, Machine Learning Eeer, Data Scientist



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