This repository documents my continuous learning journey in Data Science, Artificial Intelligence, and Mathematics. It serves as both a progress tracker and a knowledge base for my studies, projects, and insights.
- Track progress across multiple courses and learning resources
- Document practical projects and implementations
- Store notes and key learnings
- Monitor skill development
- Share my learning path with others
- 📚 Course notes and summaries
- 🧮 Mathematics foundations
- 🤖 AI/ML project implementations
- 📊 Progress tracking
- 💡 Personal insights and learning reflections
Feel free to explore my journey and progress!
Resources:
- https://www.coursera.org/specializations/machine-learning-introduction
- https://www.statlearning.com/
- https://www.youtube.com/@AssemblyAI
- https://www.udemy.com/course/complete-machine-learning-and-data-science-zero-to-mastery/
- Calculus by James Stewart
- Python for Data Analysis: https://www.google.co.uk/books/edition/_/BCc3DwAAQBAJ?hl=en&gbpv=0#pli=1