https://github.com/ginozza/ml
Machine Learning Study Journal
https://github.com/ginozza/ml
Last synced: 5 months ago
JSON representation
Machine Learning Study Journal
- Host: GitHub
- URL: https://github.com/ginozza/ml
- Owner: ginozza
- Created: 2025-01-29T05:53:34.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2025-09-24T05:22:06.000Z (8 months ago)
- Last Synced: 2025-09-24T07:20:17.648Z (8 months ago)
- Language: Jupyter Notebook
- Size: 16.6 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# ML Study Repository
## Overview
This repository is dedicated to my journey in learning and mastering Machine Learning. It serves as a structured roadmap for studying various ML concepts, techniques, and applications. While the content is a work in progress, it will gradually improve with time and practice. There are many areas to explore, refine, and understand better, so this repository will evolve as I gain more experience.
## What to Expect
- A structured **roadmap** outlining key Machine Learning topics.
- Study materials covering **fundamental concepts**, **mathematics**, **programming**, and **ML techniques**.
- Code implementations of different algorithms and models.
- Notes, explanations, and documentation to reinforce understanding.
- A collection of **projects** ranging from beginner to advanced levels.
## Areas of Study
The repository is divided into several sections, aligned with the roadmap:
- Machine Learning Basics
- Mathematical Foundations
- Programming and Data Processing
- Advanced Machine Learning
- Projects and Practical Applications
## Work in Progress
This repository is **not** a finished product—there’s always room for improvement. Some areas may lack detail, some implementations might not be optimized, and there are many advanced concepts yet to be explored. The idea is to progressively build and refine this knowledge base while learning from mistakes and experiments.
> [!WARNING]
> You may not be able to see the content of some formulas. To fix it, clone the repository to your local device, open it in VScode and press `Ctrl + Shift + V`.
## Contribution and Learning Approach
While this is primarily a personal learning space, any constructive feedback, insights, or resources are welcome. The goal is to document my learning process in a way that can also benefit others.