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

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Spark Machine Learning Project (House Sale Price Prediction)
0.0 Video Hours
1 Articles
0 Resources
4.1 Rating

Free Udemy Course Details

Language: English

Instructor: Bigdata Engineer

Access: Lifetime access with updates

Certificate: Included upon completion

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About This Free Udemy Course

The "Spark Machine Learning Project (House Sale Price Prediction)" course is thoughtfully crafted to help you gain new skills and deepen your understanding through clear, comprehensive lessons and practical examples. Whether you're just starting out or looking to enhance your expertise, this course offers a structured and interactive learning experience designed to meet your goals.

What You Will Learn in This Free Udemy Course

Throughout this course, you'll explore essential topics that empower you to confidently apply what you've learned. With over 0.0 hours of engaging video lectures, along with 1 informative articles and 0 downloadable resources, you'll have everything you need to succeed and grow your skills.

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Flexibility is at the heart of this course. Access the materials on any device — whether on your desktop, tablet, or smartphone — and learn when it's convenient for you. The course structure allows you to progress at your own speed, making it easy to fit learning into your busy life.

Meet Your Free Udemy Course Instructor

Your guide on this journey is Bigdata Engineer , seasoned expert with a proven track record of helping students achieve their goals. Learn from their experience and insights, gaining valuable knowledge that goes beyond the textbook.

Free Udemy Course Overview

Spark Machine Learning Project (House Sale Price Prediction)
Instructors: Bigdata Engineer
Language: English
Price: Free
Coupon Code: CA88CCEFC6AD111C1916
Expires At: July 12, 2025, 6:37 a.m.
Created At: July 12, 2025, 7:01 a.m.
Is New: No
Is Published: Yes
Is Offered: Yes

Free Udemy Course 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 ClusterCreate a Data PipelineProcess that data using a Machine Learning model (Spark ML Library)Hands-on learningReal 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 DataFramesPredict sales prices a Real time Use Case on Apache SparkAbout Databricks: Databricks lets you start writing Spark ML code instantly so you can focus on your data problems.

Video Hours: 0.0
Articles: 1
Resources: 0
Rating: 4.1
Students Enrolled: 4645
Mobile Access: Yes
Certificate Included: Yes
Full Lifetime Access: Yes

Frequently Asked Questions About Free Udemy Courses

What is this Free Udemy course about?

The Spark Machine Learning Project (House Sale Price Prediction) course provides comprehensive training designed to help you gain practical skills and deep knowledge in its subject area. It includes 0.0 hours of video content, 1 articles, and 0 downloadable resources.

Who is this Free Udemy course suitable for?

This course is designed for learners at all levels — whether you're a beginner looking to start fresh or an experienced professional wanting to deepen your expertise. The lessons are structured to be accessible and engaging for everyone.

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Once enrolled, you can access all course materials through the learning platform on any device — including desktop, tablet, and mobile. This allows you to learn at your own pace, anytime and anywhere.

Is there lifetime access to this Free Udemy course?

Yes! Enrolling in the Spark Machine Learning Project (House Sale Price Prediction) course grants you lifetime access, including any future updates, new lessons, and additional resources added by the instructor.