About - ML Compass Guide
ML Compass Guide is an online platform designed to help programmers, students, and machine learning enthusiasts navigate the complex world of ML algorithms, data processing, and model evaluation.
Purpose of the Project
The goal is to provide clear and practical explanations of the most important algorithms, along with:
- 🔹 Comprehensive guides to commonly used machine learning algorithms.
- 🔹 Practical code examples available in the GitHub repository.
- 🔹 Techniques for data preparation and cleaning.
- 🔹 Methods for measuring and comparing model accuracy.
About the Creator
This is a personal project that I am developing solo during my spare time, mostly in the evenings after my full-time job. I am passionate about machine learning and want to create a resource that I would have found helpful. Progress might be slow, but I am committed to continuously building and improving this guide step by step.
While creating the content and writing some of the texts, I used AI tools that help me with phrasing and grammar. However, I personally review, edit, and often rewrite every text to ensure clarity and correctness. My goal is to create a truly useful resource for learning machine learning.
Due to the broad scope of this project and computational limitations, not all algorithms are tested on real datasets. Every explanation and formula, however, is based on reliable sources.