Skip to content
#

ml-algorithms

Here are 23 public repositories matching this topic...

AIML-NLP-Text-Scoring

This repository is a long-term, evolving project focused on implementing Machine Learning algorithms from scratch and with optimized/library-based approaches side by side.

  • Updated Jan 8, 2026
  • Python

This repository contains basic implementations of popular machine learning algorithms, focused on understanding the inner workings of regression and classification techniques. It's designed as a learning resource to help beginners grasp the core concepts behind each model.

  • Updated Apr 24, 2025
  • Python

The malware detection process involves extracting features from APK files, encoding them numerically, and splitting the data into training and testing sets. A Random Forest model is trained and evaluated based on accuracy, precision, recall, and F1-score. The model is then used to classify new APKs as malware or benign.

  • Updated Jan 12, 2026
  • Python

Improve this page

Add a description, image, and links to the ml-algorithms topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the ml-algorithms topic, visit your repo's landing page and select "manage topics."

Learn more