patrickloeber /
ml-study-plan
The Ultimate FREE Machine Learning Study Plan
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shahadot786 / repository
The Ultimate Learning Hub: Master Frontend, Backend, Mobile, DevOps, Data Science, AI/ML, and everything in between. Your one-stop repository for becoming a complete tech professional.
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The Ultimate Learning Hub: Master Frontend, Backend, Mobile, DevOps, Data Science, AI/ML, and everything in between. Your one-stop repository for becoming a complete tech professional.
This repository is a complete learning ecosystem for aspiring and professional developers. Whether you want to become a Full-Stack Developer, Data Scientist, DevOps Engineer, Mobile Developer, or explore multiple domains - everything you need is here.
HTML • CSS • JavaScript • React • Vue • Angular
Master modern UI/UX development
Python • Node.js • Java • Go • PHP
Build robust server-side applications
React Native • Flutter • iOS • Android
Create cross-platform mobile apps
Docker • Kubernetes • AWS • CI/CD
Master deployment & infrastructure
Python • R • SQL • Statistics • Visualization
Analyze data and extract insights
ML • Deep Learning • NLP • Computer Vision
Build intelligent systems
SQL • NoSQL • Redis • MongoDB • PostgreSQL
Master data management
Security • Pentesting • Ethical Hacking
Protect systems and applications
Unity • Unreal • Pygame • Godot
Create interactive experiences
Ethereum • Solidity • Smart Contracts • DApps
Build decentralized applications
DSA • System Design • Coding Challenges
Get job-ready
IDEs • Git • Terminal • Environment
Setup your development workspace
fullstack-development-roadmap/
│
├── 📖 README.md (You are here!)
├── 📝 CONTRIBUTING.md
├── 📜 LICENSE
├── 🗺️ ROADMAP.md
│
├── 01-Frontend-Development/
│ ├── README.md (Frontend-specific guide)
│ ├── 01-Beginner/
│ │ ├── HTML-CSS/
│ │ ├── JavaScript-Basics/
│ │ ├── Responsive-Design/
│ │ ├── Books/
│ │ ├── Videos/
│ │ ├── Exercises/
│ │ └── Projects/
│ ├── 02-Intermediate/
│ │ ├── React-Basics/
│ │ ├── Vue-Basics/
│ │ ├── State-Management/
│ │ ├── Books/
│ │ ├── Videos/
│ │ ├── Exercises/
│ │ └── Projects/
│ ├── 03-Advanced/
│ │ ├── Advanced-React/
│ │ ├── Performance-Optimization/
│ │ ├── Testing/
│ │ ├── Books/
│ │ ├── Videos/
│ │ ├── Exercises/
│ │ └── Projects/
│ └── Resources/
│ ├── Cheatsheets/
│ ├── Best-Practices/
│ └── Interview-Questions/
│
├── 02-Backend-Development/
│ ├── README.md (Backend-specific guide)
│ ├── Python/
│ │ ├── 01-Beginner/
│ │ │ ├── Python-Basics/
│ │ │ ├── Books/
│ │ │ │ ├── python-crash-course.pdf
│ │ │ │ ├── Python-3-for-Absolute-Beginners.pdf
│ │ │ │ └── Haltermanpythonbook.pdf
│ │ │ ├── Videos/
│ │ │ ├── Exercises/
│ │ │ └── Projects/
│ │ ├── 02-Intermediate/
│ │ │ ├── OOP-Advanced/
│ │ │ ├── Web-Frameworks/
│ │ │ ├── Books/
│ │ │ │ ├── Learning-Python-5th-Edition.pdf
│ │ │ │ ├── Programming-in-Python-3.pdf
│ │ │ │ └── Python-Cookbook-3rd-Edition.pdf
│ │ │ ├── Videos/
│ │ │ ├── Exercises/
│ │ │ └── Projects/
│ │ ├── 03-Advanced/
│ │ │ ├── Design-Patterns/
│ │ │ ├── Performance/
│ │ │ ├── Books/
│ │ │ │ ├── Effective-Python-59-Ways.pdf
│ │ │ │ ├── Python-in-Practice.pdf
│ │ │ │ ├── Programming-Python-4th-Edition.pdf
│ │ │ │ └── python-pocket-reference-5th.pdf
│ │ │ ├── Videos/
│ │ │ ├── Exercises/
│ │ │ └── Projects/
│ │ └── Resources/
│ ├── Node.js/
│ │ ├── 01-Beginner/
│ │ ├── 02-Intermediate/
│ │ ├── 03-Advanced/
│ │ └── Resources/
│ ├── Java/
│ │ ├── 01-Beginner/
│ │ ├── 02-Intermediate/
│ │ ├── 03-Advanced/
│ │ └── Resources/
│ └── Go/
│ ├── 01-Beginner/
│ ├── 02-Intermediate/
│ ├── 03-Advanced/
│ └── Resources/
│
├── 03-Mobile-Development/
│ ├── README.md
│ ├── React-Native/
│ │ ├── 01-Beginner/
│ │ ├── 02-Intermediate/
│ │ ├── 03-Advanced/
│ │ └── Resources/
│ ├── Flutter/
│ │ ├── 01-Beginner/
│ │ ├── 02-Intermediate/
│ │ ├── 03-Advanced/
│ │ └── Resources/
│ ├── iOS-Native/
│ └── Android-Native/
│
├── 04-DevOps-Cloud/
│ ├── README.md
│ ├── 01-Beginner/
│ │ ├── Linux-Basics/
│ │ ├── Git-Version-Control/
│ │ ├── Bash-Scripting/
│ │ ├── Books/
│ │ ├── Videos/
│ │ └── Projects/
│ ├── 02-Intermediate/
│ │ ├── Docker/
│ │ ├── CI-CD/
│ │ ├── AWS-Basics/
│ │ ├── Books/
│ │ ├── Videos/
│ │ └── Projects/
│ ├── 03-Advanced/
│ │ ├── Kubernetes/
│ │ ├── Infrastructure-as-Code/
│ │ ├── Monitoring-Logging/
│ │ ├── Books/
│ │ ├── Videos/
│ │ └── Projects/
│ └── Resources/
│
├── 05-Data-Science/
│ ├── README.md
│ ├── 01-Beginner/
│ │ ├── Python-for-Data/
│ │ ├── Statistics-Basics/
│ │ ├── Books/
│ │ │ └── Python-for-Data-Analysis-2017.pdf
│ │ ├── Videos/
│ │ ├── Exercises/
│ │ └── Projects/
│ ├── 02-Intermediate/
│ │ ├── Pandas-NumPy/
│ │ ├── Data-Visualization/
│ │ ├── SQL-for-Data/
│ │ ├── Books/
│ │ ├── Videos/
│ │ └── Projects/
│ ├── 03-Advanced/
│ │ ├── Advanced-Analytics/
│ │ ├── Big-Data/
│ │ ├── Books/
│ │ ├── Videos/
│ │ └── Projects/
│ └── Resources/
│
├── 06-AI-Machine-Learning/
│ ├── README.md
│ ├── 01-Beginner/
│ │ ├── ML-Fundamentals/
│ │ ├── Math-for-ML/
│ │ ├── Books/
│ │ │ ├── aipython.pdf
│ │ │ └── Artificial-Intelligence-Modern-Approach-3rd.pdf
│ │ ├── Videos/
│ │ └── Projects/
│ ├── 02-Intermediate/
│ │ ├── Supervised-Learning/
│ │ ├── Unsupervised-Learning/
│ │ ├── Books/
│ │ │ └── Bishop-Pattern-Recognition-ML-2006.pdf
│ │ ├── Videos/
│ │ └── Projects/
│ ├── 03-Advanced/
│ │ ├── Deep-Learning/
│ │ ├── NLP/
│ │ ├── Computer-Vision/
│ │ ├── Books/
│ │ ├── Videos/
│ │ └── Projects/
│ └── Resources/
│
├── 07-Database-Storage/
│ ├── README.md
│ ├── 01-Beginner/
│ │ ├── SQL-Basics/
│ │ ├── Database-Design/
│ │ ├── Books/
│ │ ├── Videos/
│ │ └── Projects/
│ ├── 02-Intermediate/
│ │ ├── PostgreSQL/
│ │ ├── MongoDB/
│ │ ├── Books/
│ │ ├── Videos/
│ │ └── Projects/
│ ├── 03-Advanced/
│ │ ├── Database-Optimization/
│ │ ├── Distributed-Databases/
│ │ ├── Books/
│ │ ├── Videos/
│ │ └── Projects/
│ └── Resources/
│
├── 08-Cybersecurity/
│ ├── README.md
│ ├── 01-Beginner/
│ ├── 02-Intermediate/
│ ├── 03-Advanced/
│ └── Resources/
│
├── 09-Game-Development/
│ ├── README.md
│ ├── Unity/
│ ├── Unreal/
│ ├── Pygame/
│ └── Resources/
│
├── 10-Blockchain-Web3/
│ ├── README.md
│ ├── 01-Beginner/
│ ├── 02-Intermediate/
│ ├── 03-Advanced/
│ └── Resources/
│
├── 11-Interview-Preparation/
│ ├── README.md
│ ├── Data-Structures-Algorithms/
│ │ ├── Arrays-Strings/
│ │ ├── Trees-Graphs/
│ │ ├── Dynamic-Programming/
│ │ └── Books/
│ ├── System-Design/
│ │ ├── Beginner/
│ │ ├── Intermediate/
│ │ ├── Advanced/
│ │ └── Books/
│ ├── Behavioral-Questions/
│ ├── Company-Specific/
│ │ ├── FAANG/
│ │ ├── Startups/
│ │ └── General/
│ └── Resources/
│
└── 12-Tools-Setup/
├── README.md
├── IDEs-Editors/
├── Git-GitHub/
├── Terminal-Shell/
├── Development-Environment/
└── Resources/
Pick ONE primary focus area:
Each tech stack folder has three levels:
01-Beginner/ ────→ 02-Intermediate/ ────→ 03-Advanced/
(0-3 months) (3-6 months) (6-12 months)
Inside each level folder, you'll find:
Each level includes project folders with:
Python 3 for Absolute Beginners - Perfect first bookpython-crash-course - Hands-on, project-based introductionHaltermanpythonbook - Comprehensive basicsA Python Book Beginning Python - Gentle introductionLearning Python, 5th Edition - Comprehensive coverageProgramming in Python 3 - Complete language guideProgramming Python, 4th Edition - Real applicationsSelected from shared topics, language and repository description—not editorial ratings.
patrickloeber /
The Ultimate FREE Machine Learning Study Plan
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