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Coding
:octocat:
Coding
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paula-rj/README.md

Paula

Paula's LinkdeIn ORCID Kaggle Mehdi's Instagram

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Hi! I'm Paula

  • ⚛️ Physicist

  • 📊 Data Science

  • ☁🛰️ Remote sensing

  • 🗺️ Geospatial analysis

  • Python

  • 💻 Kaggler @Kaggle

  • 🤔 Interests: Machine Learning, Geospatial Data,Remote Sensing, Atmospheric Physics, Clouds

    📖 Tesis de Licenciatura: Clasifiación de nubes en imágenes satelitales mediante aprendizaje automático (MRes Dissertation title: Cloud type classification in ssatellite imagery using machine learning)

    ☁️ Current research: High cloud feedbacks, ocean-atmosphere interactions

    📫 How to reach me: LinkedIn

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  1. StratoPy StratoPy Public

    Python library designed to easily manipulate CloudSat and GOES-R and generate labeled images containing cloud types

    Python 4 4

  2. pipeline_cumulo pipeline_cumulo Public

    HTML

  3. binary_weather_classification binary_weather_classification Public

    Binary image classification with supervised deep learning

    Jupyter Notebook

  4. TesisLic TesisLic Public

    Este repositorio incluye codigo en Python para abrir y graficar archivos Cldclass de Cloudsat, archivos de GOES16 y cómo graficar archivos correspondientes de ambos satelites.

    Jupyter Notebook 1

  5. Autoencoder Autoencoder Public

    Autoencoder más simple posible utilizando las imágenes de MNIST

    Jupyter Notebook

  6. Deteccion-de-nubes-Landsat Deteccion-de-nubes-Landsat Public

    Detección de nubes pixel a pixel en imágenes RGB obtenidas a partir de datos del satélite Landsat mediante aprendizaje supervisado

    Jupyter Notebook