Miguel Ángel Sánchez Cortés's Projects
Python project for the Algorithmic Methods of Data Science class for the MSc. in Data Science at the Sapienza University of Rome. The main purpose of the project is practicing and mastering Python by performing Hackerrank challenges.
Python project for the Algorithmic Methods of Data Science class for the MSc. in Data Science at the Sapienza University of Rome. The main purpose of the project is performing data exploration and cleaning to obtain relevant statistical information from a dataset.
Python project for the Algorithmic Methods of Data Science class for the MSc. in Data Science at the Sapienza University of Rome. The main purpose of the project is performing Web Scraping and building a Search Engine using the concept of Term Frequency-Inverse Document Frequency.
Python project for the Algorithmic Methods of Data Science class for the MSc. in Data Science at the Sapienza University of Rome. The main purpose of the project is building a Recommendation Engine using Locally Sensitive Hashing and using K-Means to cluster users based on their Netflix activity
Python project for the Algorithmic Methods of Data Science class for the MSc. in Data Science at the Sapienza University of Rome. The main purpose of the project is exploring Network concepts like Shortest Walk, Min Cut, Densest Subgraph, etc. and building algorithms to explore these concepts.
Python project based on PyTorch to build a feed-forward Neural Network that identifies between ball and a strike given baseball data.
Repositorio hecho para el análisis de datos experimentales obtenidos mediante la medición de variables presentes en el efecto fotoeléctrico.
Python project for the Fundamentals of Data Science class for the MSc. in Data Science at the Sapienza University of Rome. The main purpose of the project is to create different classification models to predict strikes/balls using 2022 MLB pitching data.
Python project for the Fundamentals of of Data Science class for the MSc. in Data Science at the Sapienza University of Rome. The main purpose of the project is practicing Computer Vision concepts and performing Closest Neighbors classification on an image dataset.
Python project for the Fundamentals of of Data Science class for the MSc. in Data Science at the Sapienza University of Rome. The main purpose of the project is exploring Logistic Regression & Multinomial Regression concepts along with training classifiers using Gradient Descent/Ascent.
Python project based on the NetworkX package to perform a basic network science analysis to the Game of Thrones TV network. It also includes a simple epidemic simulation on this network using the EoN package.
This is a repository made for the exam of Advanced Machine Learning for Physics of the course of MSc. in Physics at the Sapienza Universiy of Rome. The purpose of the notebook is recreate the results obtained in the article: "Graph Coloring with Physics-Inspired Graph Neural Networks".
A Fortran 90 project to analyze the Lorenz System using the 4th order Runge-Kutta Method. It also includes plots of the phase space, the parameter space and the Lyapunov coefficient made with Wolfram Mathematica.
My public repository i.e. my profile README.
Website for self :)
A Fortran90 project to solve the equations of planetary motion using the Second Order Taylor Method. The plots are made with Wolfram Mathematica.