Udemy - Spark Machine Learning Project (House Sale Price Prediction)

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size1.7 GB
  • Uploaded Byfreecoursewb
  • Downloads24
  • Last checkedJul. 03rd '26
  • Date uploadedJul. 02nd '26
  • Seeders 0
  • Leechers9

Infohash : 7DCA4A8110A62BFF6902AD85CB32E61565D69226

Spark Machine Learning Project (House Sale Price Prediction)

https://WebToolTip.com

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.69 GB | Duration: 4h 56m

Spark Machine Learning Project (House Sale Price Prediction) for beginner using Databricks Notebook (Unofficial)

What you'll learn
Understand the end-to-end workflow of a Spark ML project.
Set up the environment by installing Java, Apache Zeppelin, Docker, and Spark.
Work with Zeppelin notebooks for running Spark jobs and visualizations.
Understand the house sales dataset and prepare it for machine learning.
Perform data preprocessing and feature engineering using Spark MLlib.
Use StringIndexer for handling categorical features.
Apply VectorAssembler to transform multiple features into a single vector column.
Split data into training and testing sets for machine learning tasks.
Train a regression model in Spark MLlib for predicting house sale prices.
Test and evaluate the regression model with metrics like RMSE.
Visualize outputs and interpret model results for business insights.
Run Spark jobs both in Apache Zeppelin and in Databricks (cloud environment).
Gain practical experience with Spark DataFrames, SQL queries, caching, and job tracking.
Build confidence to apply Spark MLlib in real-world business projects.

Requirements
Basic knowledge of programming (Scala or Python familiarity is helpful but not mandatory).
A computer with Windows, Linux, or MacOS.
Willingness to install software (Java, Apache Zeppelin, Docker, or Databricks free account).
Basic understanding of machine learning concepts (regression, training, testing).
No prior knowledge of Spark MLlib is required — everything will be taught from scratch.

Files:

[ WebToolTip.com ] Udemy - Spark Machine Learning Project (House Sale Price Prediction)
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Introduction To The Course
    • 1 - Welcome To The Course.mp4 (36.0 MB)
    • 2 - What You Will Learn.mp4 (8.5 MB)
    • 3 - Why Spark Mllib For Machine Learning Projects.mp4 (8.1 MB)
    • 4 - Course Workflow Project Overview.mp4 (10.2 MB)
    • 5 - Tools Well Use Apache Spark Spark Ml Apache Zeppelin.mp4 (9.5 MB)
    • 6 - Overview Of House Sale Dataset.mp4 (11.5 MB)
    2 - Setting Up The Environment
    • 10 - Hands On Setting Java Environments.mp4 (5.8 MB)
    • 11 - Steps For Setting Java Environments.html (1.0 KB)
    • 12 - Hands On Apache Zeppelin Installation Steps On Ubuntu Machine.mp4 (20.8 MB)
    • 13 - Steps For Installing Apache Zeppelin On Ubuntu Machine.html (1.4 KB)
    • 14 - Hands On Installing Docker Desktop On Windows 1011.mp4 (7.8 MB)
    • 15 - Steps For Installing Docker On Windows.html (0.4 KB)
    • 16 - Hands On Running Apache Zeppelin On Docker Windows.mp4 (41.9 MB)
    • 17 - Steps For Running Apache Zeppelin On Docker.html (2.9 KB)
    • 18 - Hands On Configure And Connect To Spark Interpreter.mp4 (65.7 MB)
    • 19 - Steps For Configure And Connect To Spark Interpreter.html (2.7 KB)
    • 7 - Requirements.html (0.2 KB)
    • 8 - Hands On Installing Java.mp4 (128.5 MB)
    • 9 - Steps For Installing Java.html (0.9 KB)
    3 - Download Resources
    • 20 - Download Resources.html (0.2 KB)
    • 20 - House-Price-Prediction.zpln (159.7 KB)
    • 20 - train.csv (449.9 KB)
    • 21 - Importing Zeppelin File In Zeppelin Environment.mp4 (12.4 MB)
    4 - Zeppelin Basics
    • 22 - What Is Apache Zeppelin.mp4 (11.9 MB)
    • 23 - Features Benefits.mp4 (40.8 MB)
    • 24 - Notebook Ui Overview.mp4 (56.0 MB)
    • 25 - Markdown And Text Formatting.mp4 (31.9 MB)
    • 26 - Creating And Running Paragraphs.mp4 (16.1 MB)
    • 27 - Hands On Creating And Running Paragraphs.mp4 (44.1 MB)
    • 28 - Visualization Options Tables Bar Chart Pie Chart Etc.mp4 (11.6 MB)
    • 29 - Hands On Types Of Default Chart In Zeppelin.mp4 (31.0 MB)
    5 - Zeppelin With Apache Spark
    • 30 - Spark Interpreter Details.mp4 (55.4 MB)
    • 31 - Working With Rdds And Dataframes.mp4 (19.5 MB)
    • 32 - Spark Sql Queries And Caching.mp4 (38.9 MB)
    • 33 - Visualizing Spark Outputs.mp4 (72.5 MB)
    • 34 - Job Tracking And Performance Tuning Basics.mp4 (56.2 MB)
    6 - Machine Learning Project
    • 35 - Understanding Spark Imports For Ml.mp4 (14.5 MB)
    • 36 - Loading Source Data In Spark.mp4 (23.1 MB)
    • 37 - Preparing Training Data.mp4 (24.9 MB)
    • 38 - Understanding Stringindexer In Spark.mp4 (15.3 MB)
    • 39 - Defining The Pipeline In Spark Mllib.mp4 (43.9 MB)
    • 40 - Split The Data.mp4 (12.8 MB)
    • 41 - Using Vectorassembler To Prepare Training Data.mp4 (59.7 MB)
    • 42 - Train A Regression Model In Spark.mp4 (47.9 MB)
    • 43 - Prepare The Testing Data.mp4 (25.6 MB)
    • 44 - Testing The Regression Model In Spark.mp4 (51.9 MB)
    • 45 - Evaluating The Regression Model In Spark.mp4 (20.0 MB)
    • 46 - Evaluating Model Performance Using Rmse.mp4 (40.7 MB)
    7 - Introduction
    • 47 - Introduction.mp4 (31.5 MB)
    8 - Download Resources
    • 48 - Download Resources.html (0.2 KB)
    • 48 - train.csv (449.9 KB)
      • SourceCode
      • House Price Prediction.dbc (106.5 KB)
      9 - Project Begins
      • 49 - Introduction To Spark.mp4 (42.6 MB)
      • 50 - Old Free Account Creation In Databricks.mp4 (7.7 MB)
      • 51 - New Free Account Creation In Databricks.mp4 (8.7 MB)
      • 52 - Tips To Improve Your Course Taking Experience.mp4 (3.0 MB)
      • 53 - Provisioning A Spark Cluster.mp4 (10.0 MB)
      • 54 - Introduction To Machine Learning.mp4 (35.0 MB)
      • 55 - Basics About Notebooks.mp4 (30.7 MB)
      • 56 - Dataframes.mp4 (21.9 MB)
      • 57 - Regression Model.mp4 (9.7 MB)
      • 58 - Explanation Of Few Terms Used In Model.mp4 (16.7 MB)
      • 59 - File Content.html (22.9 KB)
      • 60 - Project Explaination.mp4 (271.5 MB)
      • 61 - Important Lecture.mp4 (6.1 MB)
      • 62 - Bonus Lecture.html (8.3 KB)
      • Bonus Resources.txt (0.1 KB)

Code:

  • udp://coeus.torrentonline.cc:42069/announce
  • https://edge-team.cc/announce
  • https://tracker.madtia.cc/announce
  • udp://tracker.1h.is:1337/announce
  • udp://tracker.t-1.org:6969/announce
  • udp://open.stealth.si:80/announce
  • udp://whybother.torrentonline.cc:42069/announce
  • udp://obey.torrentonline.cc:42069/announce
  • udp://archive.torrentonline.cc:42069/announce
  • https://tracker.7471.top:443/announce
  • https://tracker.pmman.tech:443/announce
  • https://torrents.tmtime.dev:443/announce
  • http://tracker.moeblog.cn:443/announce
  • http://tracker.lilithraws.org:443/announce
  • http://tr.highstar.shop:80/announce