Practical AI/ML modules and notebooks for real-world impact in African contexts 🌍
Designed to support hands-on learning, experimentation, and reusable tools.
Focused on real-world patterns, efficiency in low-resource environments, and SME relevance, the repo includes notebooks, scripts, and modules that bridge theory with practical AI applications.
clean, ethical, and purpose-driven AI/ML resources that can be applied independently or integrated into larger projects.
- 🚀 Standalone learning modules and reusable notebooks
- 🤖 Supervised/unsupervised ML experiments for SMEs and emerging markets
- 📊 Data-driven analysis with low-resource efficiency
- 🌱 Ethical AI and impact-focused model design
- 🔧 Practical tools for prediction, classification, and data exploration
## Structure
ai-ml-roadmap-tools/
├── notebooks/ # Exploratory data analysis, ML experiments
├── modules/ # Reusable Python scripts and helper functions
├── datasets/ # Sample datasets, CSVs for experiments
├── utils/ # Preprocessing, visualization, and evaluation tools
├── requirements.txt # Install dependencies
└── README.md
- Clone the repository:
git clone https://github.com/CharlesMburu-TechMastery/ai-ml-roadmap-tools.git
cd ai-ml-roadmap-tools
Install dependencies:
- Install dependencies:
Copy code
pip install -r requirements.txt
Open notebooks in Jupyter or VS Code and start experimenting.
💡 "Build AI that works for people, solves real problems, and scales responsibly"