Spark Machine Learning Project (House Sale Price Prediction) – (Free Course)

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What you’ll learn

  1. In this course you will implement Spark Machine Learning Project House Sale Price Prediction in Apache Spark using Databricks Notebook(Community edition server)
  2. Launching Apache Spark Cluster
  3. Process that data using a Machine Learning model (Spark ML Library)
  4. Hands-on learning
  5. Create a Data Pipeline
  6. Real-time Use Case
  7. Publish the Project on Web to Impress your recruiter
  8. Graphical  Representation of Data using Databricks notebook.
  9. Transform structured data using SparkSQL and DataFrames

This course includes:

  • 1.5 hours on-demand video
  • 3 articles
  • 2 downloadable resources
  • Access on mobile and TV
  • Full lifetime access
  • Certificate of completion

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.

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  • 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.

How to Get this course FREE?

Note: The udemy Courses Will be free for a Maximum of 1000 Learners can use the promo code AND Get this course 100% Free. After that, you will get this course at a discounted price. (Still, It’s a good deal for you to get this course at a discounted price).

External links may contain affiliate links, meaning we get a commission if you decide to make a purchase. Read our disclosure.

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