matiasandov/hotelingApp

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Created almost 4 years ago
Updated almost 4 years ago

matiasandov/hotelingApp

matiasandov

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This is an app meant to be service very similar to AirBnb using ionic, angular and cordoba.

nlp-curriculum-classifier

NLP repository with projects like Article Classifiers, Recommender Systems and Text Processing

Jupyter Notebook

covidDetector

Internet of Things project to create a hardware device to measure oxygen saturation and heart rhythm, and a software architecture to process the measured data, as well as an interface to fill up a medical record the diagnosed person. The final goal is to detect whether a person has COVID-19 or not. The most import files are at covidDetector file

Pneumonia-Machine-Learning

React application with Machine Learning Implementation to detect Pneumonia in lungs

Jupyter Notebook

a01422885_database

Repositository for MySQL practices, in order to link a device to measure different symptoms of respiratory diseases with a data base

work_app

machine-learning-isep

Machine Learning and Data Science master course in Institut Superieur d’electronique de Paris

Jupyter Notebook

matiasandov.github.io

Very simple webpage practicing just for fun, mainly to learn about IMG files and their manipulation through html

codingFights

Repository to practice data structures and advanced algorithms

roombaFinal

machineLearning_and_analysis

Jupyter Notebook

videoFeedwCaro

conectandoWeb

facebookABCS2021

DynamicsLists

Manipulating dynamic lists with the use of pointers and references, in order to make more efficient data storage

screenRecording

Repository to build react components for the screen recording component

algsAvanzados

Grafos

Practice project for Graphs structures with template classes for Vertex and Edges with Multi-Linked vectors

webServerPractice

BinaryTrees

This repository is meant to be a practice for storing values in binary trees

racket

flutterInfiniteList

CyberAttackF

This program is meant to work with Abstract Data Types which is being used at the UserFila class, which is a class that take the atributes of each row of the CSV file and allows the "Adminsitrador" class to work with the ADT. Finally I found out that there was a very suspicious activity of a destiny name called "server.reto.com" which turned out to be the attacker leading the botnet.

asl_deep_learning

ASL Image Classification using Computer Vision: Developed a Deep Learning model from scratch, based on Convolutional Networks using Python’s PyTorch libraries, to classify images of letters and numbers of the ASL

Jupyter Notebook

ServicioStreaming

This project sought to integrate the knowledge learned during the course such as the correct implementation of classes, the concept of Inheritance, the correct implementation of access modifiers, overloading and overwriting of methods, polymorphism and abstract classes. IT consisted of the simulation of a database of a streaming service composed mainly of movies and series with both common and unique attributes for each.

iHealth

Development of Watch Os App to detect symptoms of Covid-19 through the iWatch, measuring vital signs such as heart rate, temperature and blood pressure. This makings of the HealthKit SDK for WatchOs development.

Busquedas_Ordenamiento_Biblioteca

DETAILS IN README.MD This program is meant to make use of templete classes, template methods and vectors to reuse the search (sequential, transposition, and binary) and sort (quick sort, merge sort, selection, insertion, among others) algorithms. for future algorithms.

AppTablero

Object Oriented Program to simulate Snake and Stairs game. This program is able to choose the number of players, the number of tiles, the number of penalties and rewards, the number of snakes and stairs. It was built using exceptions, herency, overriding methods, pointers, and vectors.

AngularPractice

Developing a recipies' app to practice native app development with angular and ionic

ML_HousePrices

ONLY FOR PRACTICE (not of my own) of Machine Learning foundations with Kaggle Guidelines in which I practiced the concepts of visualization of data, categorical variables, drop values, and random forests models for predictions.

Jupyter Notebook