8000 diegoperea20 (diego ivan perea montealegre) Β· GitHub
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diegoperea20/README.md

Hello there πŸ‘‹ , World 🌱

Curious Mechatronic engineer with specialization in artificial intelligence, currently pursuing a master's degree in artificial intelligence and data science. Loves to learn, adapts and grows in his knowledge, effective leader who knows how to identify when it is time to lead. Prioritizes growth over stability. Innovative thinking. Able to work in a team and self-manage πŸ˜„ .

print("hello world")

SKILLS

  • Databases : MySQL , PostgreSQL, MongoDB .
  • Othres: Python,Tensorflow ,Pytorch ,Vscode,Linux , Ubuntu , C++,Git , Git Hub, Python Flask, django ,PowerBi, Arduino, Docker , Javascript , HTML ,CSS, React ,React native ,Nextjs, PHP , HuggingFace , ROS2, R , PlatformIO, Pyspark , Streamlit, Azure , AWS ,Web Scraping (Selenium , Beautiful Soup) , ChatGPT , Java ,Go ,C#
  • Microcontrollers: ESP32 , Arduino Nano 33 BLE Sense , Arduino Uno

Popular repositories Loading

  1. deep_learning deep_learning Public

    deep learning , aplication of deep learning , time line , networks deep, autoencoders etc.

    Jupyter Notebook 4 2

  2. IoT_-internet_of_things- IoT_-internet_of_things- Public

    internet_of_things, ESP32 , conecction wifi, save ,save database through sensors, create local server, mqtt, mosquito, iot, CRUD iot etc.

    C++ 3

  3. Knee-Xray-keypoints-detection-YOLOV8 Knee-Xray-keypoints-detection-YOLOV8 Public

    Training and validation with yolov8 with the Knee Xray roboflow dataset (keypoint labeling) with tranfer learning with pose estimation.

    Jupyter Notebook 3

  4. ia_sistemas_embebidos ia_sistemas_embebidos Public

    ia , sistemas embebidos, Arduino Nano BLE sense, edge impulse, tensorflow , platformio, networks etc.

    C 2

  5. mechatronics_design_2 mechatronics_design_2 Public

    mechatronics_design_2, mechatronic, line cleaner bot , cleaner robot , line tennis, clean line tennis etc.

    2

  6. Clasification-Reviews Clasification-Reviews Public

    The application will classify positively or negatively the review that is entered, you can use different models in total 4 that were used to preprocess and train with data from the IMBD dataset.

    Jupyter Notebook 2

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