diff --git a/app/composables/projects.ts b/app/composables/projects.ts index 44d5e44..91d3dfc 100644 --- a/app/composables/projects.ts +++ b/app/composables/projects.ts @@ -3,7 +3,7 @@ export function useProjectColors() { 'Active': 'blue', 'Completed': 'green', 'Archived': 'neutral', - 'In Progress': 'amber' + 'In progress': 'amber' } const typeColors: Record = { diff --git a/content/projects/artsite.md b/content/projects/artsite.md index 1c34258..bdf6548 100644 --- a/content/projects/artsite.md +++ b/content/projects/artsite.md @@ -11,7 +11,6 @@ tags: - Nuxt - NuxtHub - Cloudflare Workers - - Wrangler - TypeScript icon: i-ph-globe-hemisphere-west-duotone --- diff --git a/content/projects/artstudies.md b/content/projects/artstudies.md index 07511ab..bbd54c6 100644 --- a/content/projects/artstudies.md +++ b/content/projects/artstudies.md @@ -11,7 +11,6 @@ tags: - Python - R - Data Science - - Machine Learning - Mathematics icon: i-ph-book-duotone --- diff --git a/content/projects/bikes-glm.md b/content/projects/bikes-glm.md index ae94862..99353fe 100644 --- a/content/projects/bikes-glm.md +++ b/content/projects/bikes-glm.md @@ -9,7 +9,6 @@ status: Completed tags: - R - Statistics - - Data Analysis - GLM - Mathematics icon: i-ph-bicycle-duotone @@ -53,5 +52,5 @@ The analysis identified critical factors influencing bike-sharing demand: ## ๐Ÿ“„ Detailed Report - diff --git a/content/projects/breast-cancer.md b/content/projects/breast-cancer.md index 262dfe8..1cc97c2 100644 --- a/content/projects/breast-cancer.md +++ b/content/projects/breast-cancer.md @@ -9,7 +9,6 @@ status: Completed tags: - Python - Machine Learning - - Data Science - Classification - Healthcare icon: i-ph-heart-half-duotone @@ -43,5 +42,5 @@ This project illustrates a concrete application of data science techniques to a You can find the code here: [Breast Cancer Detection](https://go.arthurdanjou.fr/breast-cancer-detection-code) - diff --git a/content/projects/data-visualisation.md b/content/projects/data-visualisation.md new file mode 100644 index 0000000..5298404 --- /dev/null +++ b/content/projects/data-visualisation.md @@ -0,0 +1,29 @@ +--- +slug: data-visualisation +title: Data Visualisation Project +type: Academic Project +description: An interactive data visualization project built with R, R Shiny, and ggplot2 for creating dynamic, explorable visualizations. +publishedAt: 2026-01-05 +readingTime: 1 +status: In progress +tags: + - R + - R Shiny + - Data Visualization + - ggplot2 +icon: i-ph-chart-bar-duotone +--- + +# Data Visualisation Project + +This project involves creating an interactive data visualization application using R and R Shiny. The goal is to develop dynamic and explorable visualizations that allow users to interact with the data in meaningful ways. + +## ๐Ÿ› ๏ธ Technologies & Tools + +- [R](https://www.r-project.org): A statistical computing environment, perfect for data analysis and visualization. +- [R Shiny](https://shiny.rstudio.com): A web application framework for R that enables the creation of interactive web applications directly from R. +- [ggplot2](https://ggplot2.tidyverse.org): A powerful R package for creating static and dynamic visualizations using the Grammar of Graphics. +- [dplyr](https://dplyr.tidyverse.org): An R package for data manipulation, providing a consistent set of verbs to help you solve common data manipulation challenges. +- [tidyr](https://tidyr.tidyverse.org): An R package for tidying data, making it easier to work with and visualize. + +The project is currently in progress, and more details will be added as development continues. \ No newline at end of file diff --git a/content/projects/dropout-reduces-underfitting.md b/content/projects/dropout-reduces-underfitting.md index 924cc3f..7b7fc34 100644 --- a/content/projects/dropout-reduces-underfitting.md +++ b/content/projects/dropout-reduces-underfitting.md @@ -4,23 +4,16 @@ title: Dropout Reduces Underfitting type: Research Project description: TensorFlow/Keras implementation and reproduction of "Dropout Reduces Underfitting" (Liu et al., 2023). A comparative study of Early and Late Dropout strategies to optimize model convergence. publishedAt: 2024-12-10 -readingTime: 4 +readingTime: 6 status: Completed tags: - Python - TensorFlow - - Machine Learning - Deep Learning - Research icon: i-ph-share-network-duotone --- -๐Ÿ“‰ [Dropout Reduces Underfitting](https://github.com/arthurdanjou/dropoutreducesunderfitting): Reproduction & Analysis - -![TensorFlow](https://img.shields.io/badge/TensorFlow-2.x-orange.svg) -![Python](https://img.shields.io/badge/Python-3.8%2B-blue.svg) -![License](https://img.shields.io/badge/License-MIT-green.svg) - > **Study and reproduction of the paper:** Liu, Z., et al. (2023). *Dropout Reduces Underfitting*. arXiv:2303.01500. The paper is available at: [https://arxiv.org/abs/2303.01500](https://arxiv.org/abs/2303.01500) @@ -79,7 +72,8 @@ pip install tensorflow numpy matplotlib seaborn scikit-learn ## ๐Ÿ“Š Usage The main notebook pipeline.ipynb contains all necessary code. Here is how to run a typical experiment via the pipeline API. -1. Initialization + +### 1. Initialization Choose your dataset (cifar10, fashion_mnist, mnist) and architecture (cnn, dense). ```python @@ -89,7 +83,7 @@ from pipeline import ExperimentPipeline exp = ExperimentPipeline(dataset_name="fashion_mnist", model_type="cnn") ``` -2. Learning Curves Comparison +### 2. Learning Curves Comparison Compare training dynamics (Loss & Accuracy) of the three strategies. @@ -102,7 +96,7 @@ exp.compare_learning_curves( ) ``` -3. Ablation Studies +### 3. Ablation Studies Study the impact of the "Early" phase duration or Dropout intensity. @@ -124,7 +118,7 @@ exp.compare_drop_rates( ) ``` -4. Data Regimes (Data Scarcity) +### 4. Data Regimes (Data Scarcity) Verify the paper's hypothesis that Early Dropout shines on large datasets (or limited models) while Standard Dropout protects small datasets. @@ -155,3 +149,8 @@ According to the paper, you should observe: M.Sc. Statistical and Financial Engineering (ISF) - Data Science Track at Universitรฉ Paris-Dauphine PSL Based on the work of Liu, Z., et al. (2023). Dropout Reduces Underfitting. + +## ๐Ÿ“„ Detailed Report + + \ No newline at end of file diff --git a/content/projects/loan-ml.md b/content/projects/loan-ml.md index eec65d4..8ff0f12 100644 --- a/content/projects/loan-ml.md +++ b/content/projects/loan-ml.md @@ -9,9 +9,9 @@ status: Completed tags: - Python - Machine Learning - - Classification - - Data Science + - Regression - Finance + - Data Science icon: i-ph-money-wavy-duotone --- @@ -50,5 +50,5 @@ The study employs various machine learning approaches: ## ๐Ÿ“„ Detailed Report - \ No newline at end of file diff --git a/content/projects/monte-carlo-project.md b/content/projects/monte-carlo-project.md index 3ae76ee..710b08c 100644 --- a/content/projects/monte-carlo-project.md +++ b/content/projects/monte-carlo-project.md @@ -12,6 +12,7 @@ tags: - Statistics - Monte Carlo - Numerical Methods + - Estimation icon: i-ph-dice-five-duotone --- @@ -27,5 +28,5 @@ Methods and algorithms implemented: You can find the code here: [Monte Carlo Project Code](https://go.arthurdanjou.fr/monte-carlo-code) - diff --git a/content/projects/schelling-segregation-model.md b/content/projects/schelling-segregation-model.md index 1edf2a7..bcbbe3c 100644 --- a/content/projects/schelling-segregation-model.md +++ b/content/projects/schelling-segregation-model.md @@ -19,5 +19,5 @@ This is the French version of the report for the Schelling Segregation Model pro You can find the code here: [Schelling Segregation Model Code](https://go.arthurdanjou.fr/schelling-code) - diff --git a/public/projects/bikes-glm.pdf b/public/projects/bikes-glm.pdf new file mode 100644 index 0000000..d34a5ec Binary files /dev/null and b/public/projects/bikes-glm.pdf differ diff --git a/public/projects/breast-cancer.pdf b/public/projects/breast-cancer.pdf new file mode 100644 index 0000000..68b3270 Binary files /dev/null and b/public/projects/breast-cancer.pdf differ diff --git a/public/projects/dropout-reduces-underfitting.pdf b/public/projects/dropout-reduces-underfitting.pdf new file mode 100644 index 0000000..67515c7 Binary files /dev/null and b/public/projects/dropout-reduces-underfitting.pdf differ diff --git a/public/projects/ml-loan.pdf b/public/projects/ml-loan.pdf new file mode 100644 index 0000000..f2234f2 Binary files /dev/null and b/public/projects/ml-loan.pdf differ diff --git a/public/projects/monte-carlo.pdf b/public/projects/monte-carlo.pdf new file mode 100644 index 0000000..9bc9787 Binary files /dev/null and b/public/projects/monte-carlo.pdf differ diff --git a/public/projects/schelling.pdf b/public/projects/schelling.pdf new file mode 100644 index 0000000..83553b0 Binary files /dev/null and b/public/projects/schelling.pdf differ