Exercise: GitHub Copilot Code Review

Exercise: Integrate Model Context Protocol with GitHub Copilot

Exercise: Expand your team with GitHub Copilot coding agent

Exercise: Scale Institutional Knowledge Using Copilot Spaces

Pequeño sitio para planear visitas familiares

A repository of Anomaly Detection projects, for further reference.

Repositorio de proyectos para Quinto Elemento Lab

Entrega de Problemas

Time Series analysis and forecast using ARIMA and PROPHET

Data and Python script for the analysis of the number of confirmed cases of Covid-19 in Mexico.

A collection of ML projects and notes, for further reference.

A collection of Deep Learning projects and notes, for further reference

A Portfolio Class built in Python using real world ticker data. Includes methods for keeping track of bought and sold stocks; for portfolio NAV computation and for capital gain tax computation usin…

We explore aspects of machine learning in finance. We will use different machine learning models (Logistic Regression, Random Forest Classifier, K Nearest Neighbors, Support Vector Classifier) to s…

In this Jupyter notebook we explore some aspects of the 'Rank-Size' power law distribution, where the logarithm of a country's city population and their corresponding relative ranking follow an app…

In this notebook we evaluate the Value at Risk (VaR) of a certain stocks with the use of Monte Carlo methods on Python.

The purpose of this notebook is to explore different methods for the valuation of options within the framework of the Black-Scholes pricing model with the use of Python. In particular, we will rely…

This notebook is devoted to exploring some aspects of the Capital Asset Pricing Model (CAPM) using Python

The purpose of this script is to implement a very simple trading strategy with Python. This strategy is based on the difference between slow and fast moving averages on the adjusted closed prices o…

Monte Carlo method is used to construct an optimum portfolio