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Miguel Angel Gonzalez Rodriguez photo

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followers: 12.0 following: 12.0 repos: 24.0 gists: 0.0

Name: Miguel Angel Gonzalez Rodriguez

Type: User

Bio: Software engineering and Mechatronics engineering student. I love Python and C++ but the thing I love the most is robotics so I'm learning ROS 2.

Twitter: tototr5

Location: BogotΓ‘

Hi , I'm Miguel

GitHub followers GitHub User's stars Visitor miguelgonrod

About Me :


Connect with me β˜• :


@miguel_gonzalez24 @miguelgonrod @tototr5 @miguel_gonzalezr@ieee.org


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Miguel Angel Gonzalez Rodriguez's Projects

hands-on-machine-learning icon hands-on-machine-learning

In this repo I'm going to upload the codes done in the book "Hand-On Machine Learning with Scikit-Learn, keras & TensorFlow"

leetcode icon leetcode

This repo is for me to upload my leetcode solutions

opencv-microros-ledcontroller icon opencv-microros-ledcontroller

Utilize OpenCV and ROS Humble to create a ROS node that communicates with an ESP32 over WiFi. This project detects hand gestures, publishing to a Micro-ROS topic to control an LEDβ€”illuminate on open hand, and turn off on a closed hand. Explore the synergy of computer vision and IoT in a compact gesture-controlled setup.

ros-quadruped icon ros-quadruped

This is a repo where I will upload the modifications made to my quadruped robot

snake_reinforment_learning icon snake_reinforment_learning

Python-based repository leveraging PyTorch and Pygame for Reinforcement Learning. Train an AI to autonomously play the classic Snake game, exploring autonomous decision-making strategies.

terramap-ai icon terramap-ai

This module focuses on real-time visualization of Autonomous SLAM (Simultaneous Localization and Mapping) progress with a user-friendly web interface. It provides continuous updates on the Turtlebot's position and evolving map, making it easy to monitor and interact with the SLAM process.

wineclassificationanalisis icon wineclassificationanalisis

Python-based project that aims to provide an in-depth analysis of wine flavors and quality assessments. By leveraging natural language processing (NLP) a sentiment analysis techniques, this project seeks to interpret and score wine tasting descriptions

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