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fix: corriger les majuscules dans les statuts des projets et mettre à jour les descriptions des projets

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Arthur Danjou
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content/projects/glm-bikes.md
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icon: i-ph-bicycle-duotone
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This project was completed as part of the **Generalized Linear Models** course at Paris-Dauphine PSL University. The objective was to develop and compare statistical models to predict the number of bicycle rentals in a bike-sharing system based on various environmental and temporal characteristics.
This project was completed as part of the **Generalized Linear Models** course at Paris-Dauphine PSL University. The objective was to develop and compare statistical models that predict bicycle rentals in a bike-sharing system using environmental and temporal features.
## 📊 Project Objectives
- Determine the best predictive model for bicycle rental counts
- Analyze the impact of various features (temperature, humidity, wind speed, seasonality, etc.)
- Analyze the impact of key features (temperature, humidity, wind speed, seasonality, etc.)
- Apply and evaluate different generalized linear modeling techniques
- Validate model assumptions and performance metrics
## 🔍 Methodology
The study employs rigorous statistical approaches including:
The study uses a rigorous statistical workflow, including:
- **Exploratory Data Analysis (EDA)** - Understanding feature distributions and relationships
- **Model Comparison** - Testing multiple GLM families (Poisson, Negative Binomial, Gaussian)