This repository provides a curated roadmap for aspiring and practicing data scientists and machine learning engineers, outlining essential tools, libraries, and concepts. It categorizes learning materials by difficulty using color-coded text (green for mandatory/easy, yellow for intermediate, red for advanced) to guide users through a structured learning path.

How It Works

The roadmap presents a comprehensive list of technologies and concepts crucial for a data science career. It covers programming languages, ML frameworks, cloud platforms, data tools, web development, core ML concepts, MLOps, and visualization tools. The structure is designed to offer a progressive learning experience, starting with foundational elements and moving towards more complex topics and specialized areas like Generative AI and MLOps.

Quick Start & Requirements

• Installation: No specific installation is required as this is a curated list of resources.
• Prerequisites: Familiarity with basic programming concepts is recommended. Access to cloud platforms (GCP, Azure, AWS) or local environments for practicing with libraries like TensorFlow, PyTorch, and Scikit-learn is beneficial.
• Resources: Links to specific learning resources are not provided within the README, but the listed tools and concepts can be easily searched for.

Highlighted Details

• Categorized Difficulty: Learning materials are color-coded (Green, Yellow, Red) to indicate difficulty levels.
• Comprehensive Coverage: Encompasses programming, ML frameworks, cloud, data tools, web dev, ML concepts, MLOps, and visualization.
• Practical Focus: Includes specific libraries like XGBoost, LightGBM, CatBoost, and concepts like NLP, Deep Learning, and Generative AI.
• Interview Preparation: Features a list of interview rounds and notes on neural networks, RNNs, LSTMs, and Transformers.

Maintenance & Community

The repository is a personal project by xandie985. It is marked as "Work in progress" with specific updates planned for PyTorch materials and Neural Networks notes. There are no explicit mentions of community channels or other contributors.

Licensing & Compatibility

The repository itself does not contain code that would typically require licensing. It is a collection of information and links to external resources, whose licenses would need to be checked individually.

Limitations & Caveats

This roadmap is a personal compilation and does not provide direct links to learning materials or code examples for most listed tools. The "Work in progress" status indicates that some sections may be incomplete or undergoing updates.