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♻️⚡ Green Energy Forecasting and Supply Chain Optimization
- Machine Learning model to forecast annual biomass production
- Combinatorial optimization to minimize the supply chain implementation cost
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🍞 SemEval 2025 Task 9: The Food Hazard Detection Challenge
- Develops a food hazard detection system for SemEval 2025 Task 9 using Natural Language Processing (NLP) techniques.
- Leverages DistilBERT with a custom attention mechanism that integrates textual embeddings with temporal features for improved classification.
- Includes data preprocessing, feature engineering, model training with CrossEntropyLoss, and evaluation using detailed metrics and visualizations.
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🏘️ Housing Prices Prediction App using Streamlit
Links: Repository, App
- Web app made with Streamlit that predicts housing prices.
- Preprocessing, feature engineering, dataviz and Machine Learning techniques.
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- Decision Tree with CART algorithm using solely NumPy and Python.
- Visualization of the tree using Dash.
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Studying
I'm a Computer Science student at Federal Fluminense University, focusing on Machine Learning, LLMs, Multimodal Learning
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Aetos Tech
- Brazil
- datascienceportfol.io/matheuscamposmt
- in/matheuscamposmt
Highlights
- Pro
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green-energy-opt
green-energy-opt PublicInspired by the Shell AI Hackathon 2023, this project uses machine learning to forecast biomass and a hybrid algorithm to optimize biofuel production costs, enhancing economic viability and logisti…
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decision-trees
decision-trees PublicDecision Trees implementation from scratch with interactive visualization
Python 3
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housing_prices_app
housing_prices_app PublicCalifornia Housing Prices Prediction App
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airlines-delay
airlines-delay PublicProjeto prático para analisar e realizar predições inteligentes sobre o atraso de voos.
Jupyter Notebook 1
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