ameencode/3mtt_ai_ml

This repository documents my learning journey through the 3MTT (3 Million Technical Talent) Nigeria AI/ML track. It serves as a centralized hub for all code, projects, and practical exercises completed throughout the program. This is my central repository for the 3MTT (3 Million Technical Talent) Nigeria program, specifically focusing on the Artificial Intelligence and Machine Learning track. This space serves as a digital sandbox and documentation hub as I build a solid foundation in data science, predictive modeling, and intelligent systems. Inside, you will find a curated collection of weekly coursework, hands-on laboratory exercises, and practical implementations. The repository is systematically structured to track my progress from foundational Python scripting and data preprocessing to advanced machine learning algorithms, deep learning principles, and model deployment. 📂 What's Inside? Notebooks: Step-by-step Jupyter notebooks covering exploratory data analysis (EDA), regression, classification, and clustering techniques. Projects: Capstone and mini-projects aimed at solving real-world challenges using frameworks like NumPy, Pandas, Scikit-Learn, and TensorFlow. Notes & Resources: Summaries of core concepts, cheat sheets, and references from the 3MTT curriculum. This repository is more than just code; it reflects my commitment to mastering AI/ML methodologies and contributing to Nigeria's growing digital economy. Feel free to explore the code, open an issue, or connect to collaborate on impactful AI solutions!