Requirements
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Apache Spark basic and Scala fundamental knowledge is required and SQL Basics
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Following browsers on Windows, Linux or macOS desktop:
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Google Chrome (Latest version), Firefox (Latest version), Safari (Latest version), Microsoft Edge* (Latest version)
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Internet Explorer 11* on Windows 7, 8, or 10 (with latest Windows updates applied)
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*You might see performance degradation for some features on Microsoft Edge and Internet Explorer.
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The following browsers are not supported:
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Mobile browsers.
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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.
- 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 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.
Who this course is for:
- Beginner Apache Spark Developer, Bigdata Engineers or Developers, Software Developer, Machine Learning Engineer, Data Scientist
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