Predict Housing Prices Using Azure ML | Step-by-Step Machine Learning Project | K21Academy

Описание: ✅Download Your FREE Project Guide: https://visit.k21academy.com/e75936

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In this comprehensive tutorial, we walk you through the entire housing price prediction project using Azure Machine Learning. From data preprocessing to model deployment, you will learn the essential techniques needed to predict housing prices using machine learning. Whether you are looking to enhance your machine learning skills for career advancement or preparing for your next AI/ML job, this project will serve as a great addition to your resume.

In this video, we cover:

👉Six types of machine learning techniques including regression, classification, clustering, NLP, time series analysis, and transformers.

👉Regression vs Classification: Learn the key differences and understand how to predict continuous values like house prices.

👉How to set up your Azure ML workspace to begin your machine learning journey, configure compute instances, and manage resources efficiently.

👉A step-by-step guide on configuring the housing dataset, setting the target variable, and running your automated machine learning jobs on Azure.

👉Model training and evaluation with 307 experiments to achieve a Root Mean Square Error (RMSE) of 0.09, indicating excellent predictive accuracy.

👉Deployment options: Understand how to deploy your model using batch inference, web services, and real-time endpoints.

⏱️Timestamps

00:00 - 01:15: Project Overview & Introduction
04:15 - 07:41: Machine Learning Fundamentals
10:02 - 15:39: Azure Machine Learning Setup
10:02 - 19:56: Dataset and Model Configuration
29:32 - 32:00: Model Training and Evaluation
28:07 - 30:45: Model Deployment Options
40:08 - 47:29: Model Consumption and Testing

✅Download Your FREE Project Guide: https://visit.k21academy.com/e75936

🎯Get your AI/ML career started with our 3 simple steps to a $250K+ job!
Free masterclass here: https://visit.k21academy.com/965686

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