Apache Spark Machine Learning Project (House Sale Price Prediction)
Apache Spark Machine Learning Project (House Sale Price Prediction) for beginner using Databricks Notebook (Unofficial)
Development,Data Science and AI ML,Machine Learning
Lectures -15
Resources -2
Duration -1 hours
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Course Description
Apache 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 the 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.
Goals
What will you learn in this course:
- 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
Prerequisites
What are the prerequisites for this course?
- 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.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
2 Lectures
- Introduction 03:45 03:45
- Download Resources
Project Begins
12 Lectures
Instructor Details
Bigdata Engineer
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