This repository serves as a comprehensive, curated guide for aspiring and practicing data scientists, offering a structured learning path through video playlists and supplementary materials. It covers the entire data science lifecycle, from foundational programming and statistics to advanced machine learning, deep learning, MLOPS, and generative AI, aiming to equip users with practical skills for real-world applications.

How It Works

The repository aggregates links to YouTube video playlists, organized by topic, covering Python, statistics, SQL, Git, EDA, feature engineering, machine learning, deep learning, NLP, MLOPS frameworks (Flask, Gradio, BentoML, MLflow), AWS SageMaker, and end-to-end projects. It also includes links to interview questions, internships, and a data science tracker sheet. The approach is to provide a centralized, easily navigable resource for self-paced learning across a broad spectrum of data science disciplines.

Quick Start & Requirements

• Access: No installation required; access is via provided YouTube links and GitHub repository links.
• Prerequisites: Internet connection, YouTube account (optional for saving progress), and a willingness to learn.
• Resources: Access to YouTube and GitHub.

Highlighted Details

• Extensive coverage of core data science topics in both English and Hindi.
• Focus on practical application through end-to-end project examples.
• Inclusion of MLOPS tools and cloud platforms like AWS SageMaker.
• Resources for interview preparation and career advancement (internships).

Maintenance & Community

The repository is maintained by Krish Naik, a prominent figure in the data science education space. Links to his YouTube channels (English and Hindi) and community support (channel memberships) are provided.

Licensing & Compatibility

The repository itself is hosted on GitHub, implying a standard MIT license for the repository's structure and curation. However, the linked content is hosted on YouTube, subject to YouTube's terms of service and individual video licenses. Compatibility for commercial use of the linked video content would depend on the specific licenses applied by the content creators on YouTube.

Limitations & Caveats

This repository is a curated list of links, not a self-contained codebase. The quality and up-to-dateness of the video content are dependent on the original creators. Some playlists are marked as "Coming Soon" or "In Progress," indicating incomplete coverage.