Discover @mecomontes Open Source projects

Robinson Montes Gómez (@mecomontes)

mecomontes

Stars
30
Global Rank 491,990 (Top 17 %)
Followers 24
Following 1
Registered almost 5 years ago
Most used languages

Python
33.3 %

C
23.8 %

MATLAB
9.5 %

Jupyter Notebook
9.5 %

HTML
9.5 %

R
4.8 %

Visual Basic .NET 4.8 %

Shell
4.8 %
Location 🇨🇴 Colombia
Country Total Rank 878
Country Ranking

Visual Basic .NET 7

MATLAB
32

C
61

R
94

Shell
167

Python
282

Jupyter Notebook
381

HTML
906

C-Low-level-Programming

Some projects that shows my experience with C programming language and covers all the most important topics in low level programming including: Hash tables, linked lists, binary trees, pointers, arrays, syscalls, function pointers, etc...

Machine-Learning-projects

These Machine Learning projects were created during a Specialization at Holberton School. This repository contains different projects that cover maths, reinforcement, supervised, and unsupervised learning, data series analysis, transformers, aoutoencoders, and more.

Octave

A couple of projects developed in OCTAVE for numerical analysis of Non-linear Equations, solve Defined Integrals, numerical solution of Ordinary and Partial Differential Equations, Interpolation, and Matrix methods.

Pyrazinamidase

A Molecular Dynamics simulation project of pyrazinamidase studying its influence in antibiotic resistance of pyrazinamide. The TIP3P water model as implemented in CHARMM (MacKerell) specifies a 3-site rigid water molecule with charges and Lennard-Jones parameters assigned to each of the 3 atoms. In GROMACS the fix shake command can be used to hold the two O-H bonds and the H-O-H angle rigid. A bond style of harmonic and an angle style of harmonic or charmm should also be used.

Visual-Basic

Using Visual Studio creating basic applications with Visual Basic and macros in Microsoft EXCEL with VBA. A great experience teaching algorithms for university engineer students.

Visual Basic .NET

Python

A repository that covers topics from basic algorithms to frameworks like Flask and FastAPI. It contains my whole experience with Python. It includes projects in pharmacokinetics, biomechanics, and Numerical methods

AirBnB-clone-one

This is just a console clone of AirBnB website that replies its database in a JSON file. Implementing a console application developing in python, running in a Bash shell, and using a JSON file as a database. This project was developing for Holberton School.

Udemy

A basic introductory course in several technologies that are involved in the FullStack Software developer path. It includes short basic tutorials in PHP, Go, Java, HTML, CSS, informatic security, cloud computing.

Jupyter Notebook

RStudio

Principles on R using RStudio. Implement statistical analysis and visualization in R using different libraries such as ggplot, ggplot2, caret, factoextra, corrplot, FactoMineR, and psych. These projects are involved in Data Science path.

Higher-Level-Programming

In this repository you could find the bases topics in higher level programming focused on Python, but it incluedes JavaScript, HTML, and CSS topics. The most important part is projects in python to work data structures, data processing, SQL database connection, and web development.

Interview-Chanllenges-in-C-and-Python

A lot of problems solved for a future interviews. There are several problems colected from hackerrank, code inspector, and other platforms that have used on technical interviews. The idea is to be prepared for a new job and enhance my algorithm knowledge.

Tkinter

This is a new repo that contains some examples of how to create widgets for a Desktop application using Tkinter framework with python.

Binary-Trees-in-C

A project to implement Binary trees and binary Search trees in C language. In this project, I implement the basic operations but the most important topic surrounded binary trees as a recursive mode.

MATLAB

This repository contains several projects in fields like signal processing, numerical analysis, design, and materials selection. These were the main projects that I developed with data while I worked in a Biomaterials research group.

Simple-Shell

A super simple Linux shell created with C. This is a very simple clone of a CShell implemented in C that tokenizes the input and runs the basic commands in CLI such as ls, cd, cp, mv, pwd, pwd, grep, cut, sed, etc...

Stacks-And-Queues

In this project, I implemented stacks and queues using the C programming language in a program called Monty. It reads a sequence of routines from a file and runs each command in order to generate an output file.

Data-Science-Complete-path

This is a repo that you will use in the supplement to establish reproducibility and precision of your Data Science results. Each of the steps in the analysis should be clearly explained and you should ask questions when you don't understand what the analyst did.

Jupyter Notebook

AirBnB-clone-frontend

This is the frontend version for the AirBnB clone. My first steps in the frontend world using HTML, CSS, and JavaScript combining with python in the backend and SQL for the database.

Data-Science-Coursera-Specialization

Some scripts product of my courses for a Data Science specialization at Coursera platform. It contains every steps that a DAta Scientist shoud consider when planning and executes a project: Data Processing, Data Exploratory, Statistical Analysis, Machine Learning models, Publication, and Deployment.

R-Programming-for-Data-Science

A great Coursera specialization from John Hopkins University based on R programming language. This repository contains a step by step to implement a Data Science project: Data Preprocessing, Data Exploratory Analysis, DAta Visualization, Data Cleaning, Statistical Analysis, and Machine Learning models.

AirBnB-Clone-Backend

This is the backend version for the AirBnB clone. Implementing a console application developing in python, running in a Bash shell, and store the info in SQL database with a backup file in JSON file. This project was developing for Holberton School.