A roadmap for getting started with Machine Learning
A "production-ready" simple project template to quickly start an Artificial Intelligence (AI), Machine Learning (ML) and/or Data Science (DS) project with basic files, branches and directory structure.
Beginner β Intermediate (Student & Self-Learner Friendly)
Welcome to the Machine Learning Roadmap! This comprehensive guide will take you from the basics to becoming proficient in machine learning. Whether you're a beginner or looking to expand your skills, this roadmap will provide you with a structured path to follow.
Build real scikit-learn projects with 3 beginner-friendly challenges. Learn by doing with guided coding exercises and practical applications.
A collection of machine learning projects, programs and papers
Π’Π΅ΠΌΡ ΠΈΠ· ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΠΊΠΈ, ΠΊΠΎΡΠΎΡΡΠ΅ Π½ΡΠΆΠ½Ρ Π² Data Science: ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠ°, Π²Π΅ΡΠΎΡΡΠ½ΠΎΡΡΡ, Π»ΠΈΠ½Π΅ΠΉΠ½Π°Ρ Π°Π»Π³Π΅Π±ΡΠ°, ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ Π°Π½Π°Π»ΠΈΠ·, ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΡ ΠΈ ΠΌΠ΅ΡΡΠΈΠΊΠΈ ML. Roadmap ΠΏΠΎ ΠΌΠ°ΡΠ΅ΠΌΠ°ΡΠΈΠΊΠ΅ Π΄Π»Ρ Data Science, Machine Learning ΠΈ Deep Learning
A curated collection of key research papers and resources on LLMs and deep learning, organized by topic to provide a clear learning path from fundamentals to advanced techniques.
π AI & Machine Learning Roadmap | Beginner to Advanced | Projects, Notes, and Resources to Master AI π₯
Week 3 of my AI/ML learning journey. Focused on math foundations with NumPy and Matplotlib β including matrix multiplication, vector operations, statistics, and data visualization.
The foundations of ML, built from scratch β one notebook at a time. NumPy β Pandas β Visualization β Statistics β ML β Deep Learning.
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