Welcome to my portfolio! I specialize in AI & ML projects, from structured data to computer vision, and share my work here.
- Role: AI & Machine Learning Engineer
- Website: mouhiminemohamed.netlify.app
- LinkedIn: Mohamed Mouhimine
- Programming Languages: Python, SQL, HTML, CSS
- ML Frameworks: TensorFlow, scikit-learn, Hugging Face
- Data Tools: Pandas, NumPy, Matplotlib, Seaborn
- Other: Prompt engineering, data annotation, model evaluation
- Bachelor Informatique β 1Γ¨re AnnΓ©e ValidΓ©
- Full-Stack Web Development Bootcamp (ZTM)
- AI & ML Certification (ZTM)
- Predicts heart disease using patient medical data.
- Tech: Logistic Regression, Random Forest, scikit-learn
- Accuracy: ~87%
- Predicts bulldozer auction prices using historical sales data.
- Tech: Linear Regression, Random Forest Regressor, scikit-learn
- RMSLE: ~0.25
- Classifies dog breeds from images using deep learning.
- Tech: CNN, MobileNetV2, TensorFlow
- Accuracy: ~90%
Reach out via the contact form on my portfolio or connect with me on LinkedIn.