📚 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
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.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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
Jupyter Notebook as course project for AGDPM 2023 at Technical University of Sofia
A python wrapper for Barnes-Hut tsne: for Python >= 3.5
Kaggle Dataset Access from Google Collab
This project predicts the success of SpaceX Falcon 9 first stage landings using machine learning models. By analyzing launch data collected from the SpaceX API, it aims to determine whether a first stage will successfully land, which can significantly affect launch costs and competitive bidding.
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
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.
Basics of OOP - Help to build Objet Oriented Programming Concepts through practice (Exercise Source: Udacity's Introduction to OOP Course)
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