jupyter notebook

A collection of notebooks about maths, machine learning, and whatever...

This project focuses on extracting and visualizing stock data using Python libraries such as yfinance for historical stock prices and web scraping techniques to gather company revenue data. It provides a comprehensive analysis by plotting both stock prices and revenues over time for companies like Tesla and GameStop.

A data analysis & data visualization tool to study bank statements

This project predicts house prices using machine learning models based on the King County House Sales dataset. It explores Simple Linear, Multiple Linear, Polynomial, and Ridge Regression models, comparing their performance in terms of accuracy. The best model identified is Polynomial Regression, achieving an R² score of 0.75.

Python para el procesamiento de señales.

Provides in-depth insights into the historical trends, patterns, and achievements of the Summer Olympics. By leveraging a rich dataset, we explore various aspects of the games.

A Word Clock based on the ESP8266 platform, containing football-related information.

Lecture note of Numerical Analysis and Practice

Python notebooks for teaching basic Machine Learning

Routing Algorithm using Breadth First Search, Traveling Salesman Combinatorial Optimization using Metaheuristic Algorithm

If you build an infinite grid of electrical resistors, the resulting resistance between two digaonal grid points is 2/Pi Ohm. But Why?

https://www.youtube.com/playlist?list=PLoGRr8ff1uXESrWh6z0BNTYpc4Y-hlBOm

I created this project to show how to obtain a table from a website, process the data and then send it to Kaggle.

This project I created to show how to develop a docker image to use for data science applications

Estimating the salary for a developer in each municipality and showing at https://gimse.gitlab.io/tech-salary-municipality