# sentiment classification (blogs) — RSS Amplifier

Recent posts from the 1 feeds in the RSS Amplifier directory that cover sentiment classification.

Page: <https://rssamplifier.com/topics/sentiment-classification/blogs>  
Feed: <https://rssamplifier.com/topics/sentiment-classification/blogs.md>

---

## [Building a linear regression MCP server](https://mathpn.com/posts/mcp-ols/)

_2025-07-21 · MPN_

I wanted to learn more about MCP, so I've built an MCP server that adds regression analysis capabilities to AI models. Here, we'll discuss what is MCP, why I chose linear regression, how to test an MCP server, and some limitations I currently see regarding the protocol and its implementations.

## [llm-docsmith](https://mathpn.com/posts/llm-docsmith/)

_2025-03-28 · MPN_

How I built yet another AI docstring generator.

## [Climbing trees 3: from trees to forests](https://mathpn.com/posts/climbing-trees-3/)

_2025-03-05 · MPN_

In this post, we'll explore the mathematical foundations and implementation of bagging, a popular strategy to reduce model variance, and random forests, an algorithm that uses decision trees and bagging.

## [Climbing trees 2: implementing decision trees](https://mathpn.com/posts/climbing-trees-2/)

_2025-01-28 · MPN_

Implementing classification and regression trees (CART) in Python with categorical feature support.

## [Climbing trees 1: what are decision trees?](https://mathpn.com/posts/climbing-trees-1/)

_2025-01-07 · MPN_

This is the first in a series of posts about decision trees in the context of machine learning. The goal here is to provide a foundational understanding of decision trees and to implement them.