Merge branch 'master' of https://github.com/ArthurDanjou/studies

README.md

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 # Studies
+
+[Studies Projects](https://github.com/ArthurDanjou/studies) is a curated collection of academic projects completed throughout my mathematics studies. The repository showcases work in both _Python_ and _R_, focusing on mathematical modeling, data analysis, and numerical methods.
+
+The projects are organized into two main sections:
+- **L3** – Third year of the Bachelor's degree in Mathematics
+- **M1** – First year of the Master's degree in Mathematics
+
+## 📁 File Structure
+
+- `L3`
+  - `Analyse Matricielle`
+  - `Analyse Multidimensionnelle`
+  - `Calculs Numériques`
+  - `Équations Différentielles`
+  - `Méthodes Numériques`
+  - `Probabilités`
+  - `Projet Numérique`
+  - `Statistiques`
+
+- `M1`
+  - `Data Analysis`
+  - `General Linear Models`
+  - `Monte Carlo Methods`
+  - `Numerical Methods`
+  - `Numerical Optimization`
+  - `Portfolio Management`
+  - `Statistical Learning`
+
+## 🛠️ Technologies & Tools
+
+- [Python](https://www.python.org): A high-level, interpreted programming language, widely used for data science, machine learning, and scientific computing.
+- [R](https://www.r-project.org): A statistical computing environment, perfect for data analysis and visualization.
+- [Jupyter](https://jupyter.org): Interactive notebooks combining code, results, and rich text for reproducible research.
+- [Pandas](https://pandas.pydata.org): A data manipulation library providing data structures and operations for manipulating numerical tables and time series.
+- [NumPy](https://numpy.org): Core package for numerical computing with support for large, multi-dimensional arrays and matrices.
+- [SciPy](https://www.scipy.org): A library for advanced scientific computations including optimization, integration, and signal processing.
+- [Scikit-learn](https://scikit-learn.org): A robust library offering simple and efficient tools for machine learning and statistical modeling, including classification, regression, and clustering.
+- [TensorFlow](https://www.tensorflow.org): A comprehensive open-source framework for building and deploying machine learning and deep learning models.
+- [Matplotlib](https://matplotlib.org): A versatile plotting library for creating high-quality static, animated, and interactive visualizations in Python.
+- [RMarkdown](https://rmarkdown.rstudio.com): A dynamic tool for combining code, results, and narrative into high-quality documents and presentations.
+- [FactoMineR](https://factominer.free.fr/): An R package focused on multivariate exploratory data analysis (e.g., PCA, MCA, CA).
+- [ggplot2](https://ggplot2.tidyverse.org): A grammar-based graphics package for creating complex and elegant visualizations in R.
+- and my 🧠.