This repository serves as a comprehensive, beginner-friendly hub for machine learning and data science resources. It aggregates links to courses, books, papers, cheat sheets, datasets, and community platforms, aiming to provide a structured learning path for individuals new to the field.

How It Works

The project acts as a curated directory, organizing vast amounts of ML/DS information into distinct categories. It doesn't host code or provide direct learning tools but rather points users to established external resources, including academic papers, online courses from reputable institutions, and popular coding practice platforms. This approach leverages existing high-quality content to build a centralized, accessible knowledge base.

Quick Start & Requirements

• Install/Run: No installation required; it's a curated list of links.
• Prerequisites: Internet access to follow the provided links.
• Resources: Minimal; primarily requires a web browser.
• Links:
  • Papers
  • Courses
  • Datasets

Highlighted Details

• Extensive categorization covering papers, languages, platforms, courses, books, cheat sheets, interview questions, datasets, blogs, competitions, and specific topics like CNNs and GANs.
• Includes a structured approach to tackling ML problems, from problem definition to deployment and monitoring.
• Lists numerous cloud platforms (Colab, Kaggle, AWS, GCP) suitable for ML development.
• Features a wide array of courses from institutions like Stanford, Harvard, IBM, and Google.

Maintenance & Community

• The repository appears to be maintained by a single contributor, AdicherlaVenkataSai.
• Community interaction is encouraged via suggestions to the maintainer.

Licensing & Compatibility

• The repository itself does not specify a license. Content consists of links to external resources, which are governed by their respective licenses.

Limitations & Caveats

• The repository is a curated list and does not provide direct access to the resources; users must navigate to external sites.
• Some links may become outdated or broken over time, requiring manual updates.
• The "Self prepared Interview Questions" section is noted to be updated weekly, implying potential for ongoing changes.