mirror of
https://github.com/ArthurDanjou/artsite.git
synced 2026-01-14 15:54:13 +01:00
57 lines
2.0 KiB
Markdown
57 lines
2.0 KiB
Markdown
---
|
|
slug: bikes-glm
|
|
title: Generalized Linear Models for Bikes Prediction
|
|
type: Academic Project
|
|
description: Predicting the number of bikes rented in a bike-sharing system using Generalized Linear Models and various statistical techniques.
|
|
publishedAt: 2025-01-24
|
|
readingTime: 1
|
|
status: Completed
|
|
tags:
|
|
- R
|
|
- Statistics
|
|
- GLM
|
|
- Mathematics
|
|
icon: i-ph-bicycle-duotone
|
|
---
|
|
|
|
# Generalized Linear Models for Bikes Prediction
|
|
|
|
## Overview
|
|
|
|
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.
|
|
|
|
## 📊 Project Objectives
|
|
|
|
- Determine the best predictive model for bicycle rental counts
|
|
- Analyze the impact of various 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:
|
|
|
|
- **Exploratory Data Analysis (EDA)** - Understanding feature distributions and relationships
|
|
- **Model Comparison** - Testing multiple GLM families (Poisson, Negative Binomial, Gaussian)
|
|
- **Feature Selection** - Identifying the most influential variables
|
|
- **Model Diagnostics** - Validating assumptions and checking residuals
|
|
- **Cross-validation** - Ensuring robust performance estimates
|
|
|
|
## 📁 Key Findings
|
|
|
|
The analysis identified critical factors influencing bike-sharing demand:
|
|
- Seasonal patterns and weather conditions
|
|
- Temperature and humidity effects
|
|
- Holiday and working day distinctions
|
|
- Time-based trends and cyclical patterns
|
|
|
|
## 📚 Resources
|
|
|
|
- **Code Repository**: [GLM Bikes Code](https://go.arthurdanjou.fr/glm-bikes-code)
|
|
- **Full Report**: See embedded PDF below
|
|
|
|
## 📄 Detailed Report
|
|
|
|
<iframe src="/projects/bikes-glm.pdf" width="100%" height="1000px">
|
|
</iframe>
|