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Add portfolio page for GLM bike prediction project
Introduced a new portfolio entry showcasing a bike prediction project using Generalized Linear Models. Includes a detailed description, relevant tags, a PDF report, and a link to the source code.
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@@ -49,7 +49,7 @@ function updateTag(payload: number | string) {
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icon="i-ph-warning-duotone"
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variant="outline"
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/>
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<UTabs :items="tags" color="neutral" @update:model-value="updateTag">
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<UTabs :items="tags" color="neutral" size="md" variant="pill" @update:model-value="updateTag">
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<template #default="{ item }">
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<span class="truncate">{{ t(item.translation) }}</span>
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</template>
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19
content/portfolio/bikes-glm.md
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19
content/portfolio/bikes-glm.md
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---
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slug: bikes-glm
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title: Generalized Linear Models for Bikes prediction
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description: 🚲 Predicting the number of bikes rented in a bike-sharing system using Generalized Linear Models.
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publishedAt: 2025/01/24
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readingTime: 1
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tags:
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- project
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- r
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- data
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- maths
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---
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The project was done as part of the course `Generalised Linear Model` at the Paris-Dauphine PSL University. The goal of the project is to determine the best model that predicts/explains the number of bicycle rentals, based on various characteristics of the day (temperature, humidity, wind speed, etc.).
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You can find the code here: [GLM Bikes Code](https://github.com/ArthurDanjou/Studies/blob/master/M1/General%20Linear%20Models/Projet/GLM%20Code%20-%20DANJOU%20%26%20DUROUSSEAU.rmd)
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<iframe src="/portfolio/bikes-glm/GLM Final report.pdf" width="100%" height="1000px">
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</iframe>
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@@ -34,6 +34,9 @@ export default defineNuxtConfig({
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// Nuxt Content
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content: {
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preview: {
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api: 'https://api.nuxt.studio',
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},
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build: {
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markdown: {
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highlight: {
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public/portfolio/bikes-glm/GLM Final report.pdf
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BIN
public/portfolio/bikes-glm/GLM Final report.pdf
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