NumPy

MCODAC is a Fortran library for the numerical evaluation of fiber composite damage. The library contains analysis methods specifically tailored to fiber composites, from micromechanical homogenization approaches to macroscopic fatigue models of orthotropic multilayer composites.

Boxbeam is a legacy Fortran tool translated to python. It calculates effective beam properties of composite cross sections comprised of rod-like elements.

Beos is a legacy Fortran tool used to calculate the static and dynamic buckling behavior of flat/curved fiber composite structures.

dantro is a python package for handling, transforming, and visualizing hierarchically organized data.

Integrated into data-intensive projects, it supplies an easy way to define a customizable, configuration-based data processing pipeline. See utopya for an example.

API construída em Python para realizar reconhecimento facial de uma imagem e comparar com outras imagens armazenadas em um banco de dados Mongodb, e retornar se é a mesma pessoa. Serviços do projeto foram feitos em docker com containers para a api e o mongo.

Common statistics and functions to work with financial time series.

A pricing graph of the 930, 964, and 993 generations of Porsche 911s based on data from Cars & Bids.

A project to develop a non-invasive, AI-powered system for detecting lung cancer associated with combustion particles and fine particulate matter (PM2.5).

Introduction to classification using machine learning and deep learning (PyTorch, TensorFlow, Keras)

Este repositorio contiene los dos casos de estudio realizados como parte del Diplomado de Extensión en Data Science. En ambos casos, se utilizaron técnicas de programación en Python y Data Science para analizar conjuntos de datos y extraer información valiosa.

A Python module, primarily on linear and multiple regression including normalizing data, computing hypothesis, and evaluating cost.

This Car Prediction Project aims to predict v price, using Regression models. The project contains a collection of data files, model files, and Python scripts necessary for training and deploying car prediction Price models. This project encompasses a comprehensive set of data files, serialized models, and Python scripts necessary for training, evaluating, and deploying car price prediction models.

Creation of a trading robot for data analysis and manipulation of the libraries Pandas, Numby, MatplotLib, Yfinance, Seaborn

Code from mechanic physics labs (university course)

My attempts to solve homework from the Moscow Institute of Physics and Technology course

All left code from labs 1-3 years(university studing)

Collection of simple code snippets and tasks in python

Raw project code to complete labs of statistical radiophysics (university course)

Collection of completed data-mining (university course) on python

Simple raw code for plotting graphs to one of conferences