Using ML.NET to Build Machine Learning Models

Solution Review: Analyzing Clustered Data

Explore how to analyze clustered data using ML.NET by mapping cluster IDs to meaningful property categories. Learn to interpret high-end, mid-range, and cheap property clusters and improve data insight through human-readable labels.

We'll cover the following...

Solving the challenge

1.Introduction to ML.NET

2.Machine Learning Fundamentals

3.Selecting a Problem for Machine Learning

4.Built-In Supervised Learning Tasks in ML.NET

5.Built-In Unsupervised Learning Tasks in ML.NET

6.Deep Learning and Neural Networks

7.Automating Machine Learning Tasks with AutoML

8.Saving and Consuming Machine Learning Models

Mini Project

9.Wrapping Up

Project

10.Appendix

Solution Review: Analyzing Clustered Data