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📢 Hi, I'm Alvaro, a passionate self-taught software and Hardware Computer. Enjoy to code! 🥑 :)

I'm an student of Software and System's Engineering

        

Java Autocad Python Linux Chrome git npm html5 html5 Brave browser Visual Studio Code Spring MariaDB PostgreSQL Kafka Redis JWT JavaScript IntelliJ IDEA Yarn AWS React Docker TypeScript angular d3js MongoDB NodeJS Golang Golang SonarQube Grafana ASM Arduino Simio Kubernetes GitLab CI/CD Google Cloud AWS C++ Go Vue.js

GitHub Streak

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Perfil de GitHub

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Stats Lenguaje más utilizado Horario productivo

Alvaro Socop's Projects

jssha icon jssha

A JavaScript/TypeScript implementation of the complete Secure Hash Standard (SHA) family (SHA-1, SHA-224/256/384/512, SHA3-224/256/384/512, SHAKE128/256, cSHAKE128/256, and KMAC128/256) with HMAC.

lfp_proyecto2_202000194 icon lfp_proyecto2_202000194

Programa de solución de software que permite analizar y realizar reportes de datos para la toma de decisiones futuras y que además se puede aplicar a cualquier tipo de negocio, generando información interesante para pequeñas empresas. Esta solución tiene como entrada un lenguaje con cierta estructura por medio de un archivo con extensión “.lfp” del cual se realizan ejecuciones, simulando un compilador real.

ml_assignment_6 icon ml_assignment_6

Load and preprocess a data set of your choice, choose a categorical variable for a classification problem, split into train/test, then try training a handful of feedforward neural nets in sklearn and compute their test accuracy. (Remember to do this just type "from sklearn.neural_network import MLPClassifier" and then "model = MLPClassifier()" then do the usual sklearn commands to fit the model, etc.) What I'd like you to do here is read (or at least browse) the online documentation for MLPClassifier to see what possible hyperparameters it allows and then just play around with those choices, basically experimenting randomly, and see which values give you the best accuracy that you can find. Report to me the hyperparameters that you tried and the accuracies they yielded.

pyscript icon pyscript

Home Page: https://pyscript.net Examples: https://pyscript.net/examples

semantic_network_prolog icon semantic_network_prolog

A semantic network implemented in Prolog is a graphical representation of knowledge where concepts are represented as nodes and relationships between concepts are represented as edges.

so1_actividades_202000194 icon so1_actividades_202000194

Actividades de investigaciones sobre los conceptos aprendidos en la clase magistral del curso de Sistemas Operativos

spotify-profile icon spotify-profile

A web app for visualizing personalized Spotify data built with React, Express, and the Spotify API

spotifynopremium icon spotifynopremium

A cross-platform Spicetify theme which declutters Spotify stock UI and removes all ads.

tarea_1_edd_2021 icon tarea_1_edd_2021

This is my first task of the laboratory, is the implementation of an Double Circular List in Javascript.

web-scripts icon web-scripts

A collection of base configs and CLI wrappers used to speed up development @ Spotify.

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