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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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🏘️ California Housing Prices Prediction App using Streamlit
Links: Repository, App
- Web app made with Streamlit that predicts housing prices in California.
- 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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- Notebooks about theoretical concepts such as probability, model explanation, and hypothesis testing.
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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…
Jupyter Notebook
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decision-trees
decision-trees PublicDecision Trees implementation from scratch with interactive visualization
Python 2
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housing_prices_app
housing_prices_app PublicCalifornia Housing Prices Prediction App
Jupyter Notebook 6
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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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