Spark Machine Learning Project (House Sale Price Prediction)
Spark Machine Learning Project (House Sale Price Prediction) for beginner using Databricks Notebook (Unofficial)
3.97 (76 reviews)
12,303
students
1.5 hours
content
Nov 2024
last update
$49.99
regular price
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
Data Exploration & Preprocessing: Clean, transform, and analyze large-scale real estate data to uncover key trends and patterns.
Feature Engineering: Identify the most influential factors driving house prices, such as location, size, and market trends.
Machine Learning Pipelines: Build predictive models using Spark’s MLlib to estimate house sale prices with precision.
Model Evaluation & Optimization: Assess model performance and fine-tune parameters to enhance accuracy and reliability.
Scalable Data Processing: Leverage Spark’s distributed computing to handle and analyze massive datasets efficiently.
2452496
udemy ID
7/10/2019
course created date
11/21/2019
course indexed date
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