multiple linear regression in scratch [P]

📰 Reddit r/MachineLearning

Implement multiple linear regression from scratch in Scratch, a beginner-friendly programming environment

intermediate Published 10 Jul 2026

Action Steps

Build a multiple linear regression model using Scratch
Run the model with custom data to see predictions
Configure the model by adjusting parameters such as learning rate and number of iterations
Test the model's performance using evaluation metrics like mean squared error
Apply the model to a real-world problem, such as predicting continuous outcomes
Compare the results with other regression models to evaluate performance

Who Needs to Know This

Data scientists and machine learning engineers can benefit from understanding the basics of multiple linear regression, while Scratch developers can explore applying ML concepts to their projects

Key Insight

💡 Multiple linear regression can be implemented in Scratch, demonstrating the versatility of the platform for machine learning projects

Key Takeaways

Implement multiple linear regression from scratch in Scratch, a beginner-friendly programming environment

Full Article

i made a multiple linear regression trainer that can be used with custom data in scratch nothing more to say, the impressive part is the scratch part https://scratch.mit.edu/projects/1352102064/ submitted by /u/mehmetflix_ <a href="https://www.reddit.com/r/MachineLearning/comments/1uszkri/multip

Read full article → ← Back to Reads