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https://github.com/mariamagro/mariamagro

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Host: GitHub
URL: https://github.com/mariamagro/mariamagro
Owner: mariamagro
Created: 2024-02-10T18:37:07.000Z (11 months ago)
Default Branch: main
Last Pushed: 2024-08-18T21:51:46.000Z (5 months ago)
Last Synced: 2024-08-18T22:39:41.114Z (5 months ago)
Size: 29.3 KB
Stars: 0
Watchers: 1
Forks: 0
Open Issues: 0
Metadata Files:
- Readme: README.md

Awesome Lists containing this project

README

        
# Hi there 👋, I'm María Ángeles Magro Garrote

Welcome to my GitHub profile! I'm passionate about **Machine Learning, Deep Learning**, and **Data Science**. I enjoy working on challenging problems, especially in **Neural Networks** and **Statistical Learning**.

- 🎓 **Final-year Data Science and Engineering student** at **Universidad Carlos III de Madrid (UC3M)**.

- 💼 Completed a **9-month internship** at **Vodafone Spain** in the **Digital & IT Processes department**.

- 💻 Currently working as a Technician at [LODCoreMadrid (UC3M)](https://lodcoremadrid.es/), specialized in **open and linked data**.

Feel free to explore my repositories and connect with me!

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### 🔭 Current Projects

| Repository | Description |

|------------|-------------|

| [**RNN_Sentiment_Analysis**](https://github.com/mariamagro/RNN_Sentiment_Analysis) | 🌟 Sentiment analysis using RNNs and attention mechanisms to improve text classification. |

| [**Deep_Autoencoders_MNIST_FMNIST**](https://github.com/mariamagro/Deep_Autoencoders_MNIST_FMNIST) | 🧠 Explore deep autoencoders on MNIST & FMNIST datasets. Includes denoising, regularization, and architecture experiments. |

| [**CNN_Bird_Cat_Classification**](https://github.com/mariamagro/CNN_Bird_Cat_Classification) | 🐦 vs 🐱 CNN-based classifier using the CIFAR-10 dataset. |

| [**Exploring_Variational_Autoencoders_Gaussian_Mixture_Models**](https://github.com/mariamagro/Exploring_Variational_Autoencoders_Gaussian_Mixture_Models) | 🔀 Dive into VAEs for 3D Gaussian Mixture Models. Synthetic data generation & modeling. |

| [**Pacman_Reinforcement**](https://github.com/mariamagro/Pacman_Reinforcement) | 🕹️ Building an agent for Pac-Man using reinforcement learning. |

| [**Flask_Web_Application**](https://github.com/mariamagro/Flask_Web_Application) | 🌐 Develop a full-stack web application using Flask, SQL, HTML, and JS. |

| [**Bayesian_Case_Study**](https://github.com/mariamagro/Bayesian_Case_Study) | 🌌 Predict hazardous NEOs using Bayesian methods on NASA datasets. |

| [**Machine_Learning_Applications**](https://github.com/mariamagro/Machine_Learning_Applications) | 🖥️ Forum enhancement project utilizing advanced data analysis: web scraping, text preprocessing, vectorization, clustering, sentiment analysis, and topic modeling. |

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More repositories are available in the [repository tab](https://github.com/mariamagro?tab=repositories). Feel free to explore!

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