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Geospatial Data Analysis and Machine Learning
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Geospatial Data Analysis and Machine Learning
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braimahm/README.md 
                            Hi, I am Mohammed Braimah 👋

🔭 I’m currently working on using geospatial python and machine learning models to estimate soil carbon

🌱I’m currently learning remote sensing and machine learning

⚡ Fun fact: Passionate About Data-Driven Story Telling

Screenshot 2024-06-27 124957 duke

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  1. Exploratory-Data-Analysis-in-Python Exploratory-Data-Analysis-in-Python Public

    These projects focused on data cleaning, analysis, conditional statements, looping, pandas syntax, and general exploratory data analysis

    Jupyter Notebook 3

  2. Geospatial-Python-Masters-Thesis Geospatial-Python-Masters-Thesis Public

    These are python codes developed to process Sentinel 2 and Field Reflectance Data

    Jupyter Notebook

  3. Machine-Learning-Algorithms-Masters-Thesis Machine-Learning-Algorithms-Masters-Thesis Public

    I developed these codes and models to process remote sensing data and partition the data into clusters and classes. These models were developed to facilitate the processing of field data.

    Jupyter Notebook

  4. SQL-Scripting-in-Python SQL-Scripting-in-Python Public

    These are SQL and python codes for data analysis and data base management

    Jupyter Notebook

  5. Machine-Learning-Assignments-and-Capstone-Projects Machine-Learning-Assignments-and-Capstone-Projects Public

    These are machine learning models I developed including those I developed for my masters thesis and those I made during assignments

    Jupyter Notebook

  6. Machine-Learning-Applications-in-Weather-and-Climate-Forecasting Machine-Learning-Applications-in-Weather-and-Climate-Forecasting Public

    I worked through these machine learning algorithms to complete assignments in the European Center for Medium Range Weather Forecasting MOOC class

    Jupyter Notebook 1