📚 A beginner's structured starting point for the machine learning journey, covering all prerequisites and curated resource links needed to build a solid, practical foundation in ML. 🤖
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Updated
Jun 4, 2025
📚 A beginner's structured starting point for the machine learning journey, covering all prerequisites and curated resource links needed to build a solid, practical foundation in ML. 🤖
Welcome to the Machine Learning Roadmap! This comprehensive guide will take you from the basics to becoming proficient in machine learning. Whether you're a beginner or looking to expand your skills, this roadmap will provide you with a structured path to follow.
ELEC 8900: Machine Learning [ML] | Semester III | MEng Computer Engineering
Local-first SQLite note app for writing, search, graphs, and ML-ready personal data.
This repository contains the notes, code, and projects I have worked on as I learn about Machine Learning. This is a personal learning journey. I am simply sharing my progress with the hope that it may help others who are also learning.
A structured machine learning experimentation lab covering algorithms, evaluation techniques, and applied ML concepts.
Jupyter Notebook as course project for AGDPM 2023 at Technical University of Sofia
Kaggle Dataset Access from Google Collab
A python wrapper for Barnes-Hut tsne: for Python >= 3.5
Хакатон по кейсу Ростелекома - предсказание повторных покупок с помощью ML
a git repo storing ML notes that contains basic concept and easy-to-understand resources that one can find online
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Collection of Jupyter Notebooks demoed on https://www.youtube.com/stevesiedata
React + Redux starter kit / boilerplate with Babel, hot reloading, testing, linting and a working example app built in
Basics of OOP - Help to build Objet Oriented Programming Concepts through practice (Exercise Source: Udacity's Introduction to OOP Course)
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
A repository of machine learning models — some coded from scratch, others leveraging scikit-learn.
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