To implement a machine learning model using ML.NET, I would start by defining a data class for the housing data, then load the data into an IDataView. Next, I’d configure…
Tag
#regression
How do you implement a simple machine learning model using ML.NET in C# to predict housing prices based on features like size and location?
🏷️
What is the difference between classification and regression?
Classification predicts a category (discrete output). Regression predicts a continuous numerical value.
🏷️
How would you approach testing a machine learning model that predicts house prices based on various features?
I would start by splitting the dataset into training and testing sets. Then, I would evaluate the model’s performance using metrics like Mean Absolute Error (MAE) and R-squared on the…
🏷️
Developer Interview Kit · PDF
2,000 Interview Questions & Answers, in one PDF
- Short answers, in-depth explanations, common mistakes and follow-ups
- 89 topics, from Beginner to Architect, with a clickable contents list
- 226 extra questions that are not on this website
- Free Bonus Pack: 30-day study plan, behavioral questions, salary scripts
$7.99 one-time · instant email delivery
Also available: 260 Developer Learning Paths $4.99
Week-by-week roadmaps for 16 career tracks (Python, React, Java, DevOps, SQL, AI and more), with a progress tracker on every path.
See what's inside →
Get both books for $9.99 (save $2.99):
The material stays free to read online. This is the organised, offline, print-ready PDF edition. Secure payment by PayPal; your personal download link is emailed after payment is confirmed. Digital product, no shipping.