Welcome to the Data Science Roadmap! 🚀
This repository provides a structured and comprehensive guide for anyone interested in learning data science and Machine Learning, whether you're a beginner or looking to advance your skills.
- Intro to Statistics 🎥
- Statistics 1 (On YouTube) 🎥
- Arbic Course 🎥
Why Python? Show this
- Codemy.com 🎥
- FreeCodeCamp 🎥
- Kaggle 📕
- Codezilla 🎥
- keepcoding 🎥
After completing the Beginners and Intermediate stages, it's time to choose your path for advanced learning.
You can now proceed with one of the following tracks:
Alternatively, you can choose to study both tracks consecutively to gain comprehensive knowledge.
Each track includes courses and skills that will help you advance in your career.
- iti Course (matrial) and
- Sql Bi
- Supervised Learning Course 🎥
- Unsupervised & Reinforcement Learning Course 🎥
- Advanced Learning Algorithms 🎥
- Book 📕
Learn how to deploy models and turn your solutions into production-ready applications.
- Neural Networks Course 🎥
- Improving Deep Neural Networks Course 🎥
- Convolutional Neural Networks Course 🎥
- Recurrent Neural Networks Course 🎥
- Refrence Book 📕
When to use? ease of use makes it perfect for research and prototyping custom models, e.g. building and experimenting with a GAN for image synthesis.
- Playlist 🎥
When to use? for deploying large-scale production models, e.g. training and deploying an image classification model
- Playlist 🎥