The latest articles on DEV Community by Gauravlovescode (@gyr0byte). https://dev.to/gyr0byte https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.us-east-2.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F4206525%2Fb9573009-b174-4d7b-ad93-a80430cf6a0a.jpg https://dev.to/gyr0byte en Gauravlovescode Sun, 25 Oct 2026 12:01:11 +0000 https://dev.to/gyr0byte/im-building-my-ml-learning-path-in-public-from-numpy-to-transformers-20c9 https://dev.to/gyr0byte/im-building-my-ml-learning-path-in-public-from-numpy-to-transformers-20c9 <p>Hey everyone!</p> <p>I've been learning machine learning by building ML-Foundations, a public collection of Jupyter notebooks documenting my learning journey.</p> <p>Instead of keeping notes scattered across different places, I wanted to organize what I'm learning into a structured, hands-on path:</p> <p>NumPy, Pandas, and data visualization</p> <p>Statistics and machine learning fundamentals</p> <p>Classical ML with libraries like scikit-learn</p> <p>Deep learning concepts</p> <p>NLP and Transformers</p> <p>The goal is to make the learning process practical: study a concept, experiment with the code, and keep everything organized in one place.</p> <p>This is a learning-in-public project, so I'm still improving the notebooks and the learning sequence.</p> <p>🔗 Repository: <a href="https://github.com/gyr0byte/ML-Foundations" rel="noopener noreferrer">https://github.com/gyr0byte/ML-Foundations</a></p> <p>I'd genuinely appreciate feedback from people who have learned or taught ML:</p> <p>Does the progression make sense for a beginner?</p> <p>Which foundational topics would you add?</p> <p>What makes a learning repository genuinely useful to you?</p> <p>If you're learning ML too, I hope you find something useful here!</p> <p>#showdev #python #machinelearning #datascience</p> buildinpublic learning machinelearning python