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JR-Camacho/README.md

Full Stack Web Developer | Data Science and Machine Learning

Welcome to my GitHub profile! I'm Jose Camacho, a passionate Full Stack web developer with a particular focus on data science and machine learning.

Languages and Tools:

angular bootstrap css3 express git hadoop heroku html5 javascript laravel linux mssql mysql nestjs nginx nodejs pandas php postman python react redux scikit_learn seaborn tailwind tensorflow typescript

Experience:

I have experience working on various web development projects, both on the frontend and backend. I have worked with frameworks like React and Angular to create interactive and responsive user interfaces. On the backend, I have utilized Laravel, Node.js with Express.js and Nest.js to develop efficient and scalable servers.

Data Science and Machine Learning:

In addition to my web development experience, I have a strong interest in data science and machine learning. I use Python along with libraries such as TensorFlow, NumPy, and Matplotlib to develop machine learning models and perform data analysis.

Featured Projects:

Here are some of my featured projects:

  1. ClasificatorAI: Image classification project using Machine Learning, with interesting web interface worked on React.js.
  2. security_processes: Spam detector, classification of network flows, divided into three main modules (API, Slient Side, Machine learning), developed with Python and implemented in React.js.

Contact:

If you'd like to get in touch or collaborate on a project, feel free to reach me through the following channels:

Thank you for visiting my GitHub profile! I hope you find my projects and contributions interesting!

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  1. ClasificatorAI ClasificatorAI Public

    Clasificator is a practice project focused on training machine learning models for image classification using various types of neural networks, data processing, and transformation techniques. The p…

    Jupyter Notebook

  2. security_processes security_processes Public

    This project consists of data analysis, construction of machine learning models for the detection of spam and malicious network flows.

    Jupyter Notebook

  3. jota-nlp jota-nlp Public

    This project is based on applying machine learning techniques for natural language processing, with an api and web interface for practical use.

    Jupyter Notebook

  4. health_analysis health_analysis Public

    This project contains a set of data science techniques applied to the analysis of different health datasets.

    Jupyter Notebook