Spark Machine Learning Project (House Sale Price Prediction) for beginner using Databricks Notebook (Unofficial)
What you will 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-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
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.
English
language
Content
Introduction
Introduction
Download Resources
Download Resources
Project Begins
Introduction to Spark
Free Account creation in Databricks
Provisioning a Spark Cluster
Introduction to Machine Learning
Basics about notebooks
Dataframes
Regression Model
Explanation of few terms used in Model
File Content
Project Explaination
Important Lecture
Bonus Lecture