Machine-Learning-Tutorials

The repository spans from fundamental algorithms like linear regression to advanced deep learning architectures such as CNNs and LSTMs, as shown in the extensive table of contents covering over 20 categories.

Resources are meticulously categorized by specific topics like classification, NLP, and deep learning, enabling easy navigation and targeted learning without sifting through unrelated materials.

Accepts contributions via clear guidelines, allowing the list to grow with new resources, though this relies on volunteer efforts without guaranteed frequency.

Includes a dedicated section with essential ML interview questions and answers, sourced from platforms like Quora and Springboard, useful for job seekers.