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lauxpaux/README.md

Hi there,

I'm currently making updates to my profile/projects...

About Me

With a strong foundation in data science and machine learning, I bring over 2 years of experience driving high-leverage projects that have made a tangible impact. During my tenure at NASA, I had the privilege of supporting critical research projects by applying advanced data analysis techniques and statistical modeling. This invaluable experience equipped me with a deep understanding of complex datasets and the ability to extract valuable insights that inform strategic decision-making.

As a passionate advocate for machine learning, I have cultivated a robust portfolio and publication list that reflects my expertise in AI and machine learning. Through rigorous research efforts, I have successfully implemented machine learning algorithms to solve complex problems and optimize processes. By staying at the forefront of emerging trends, I have contributed to advancements in the field and remain committed to driving innovation through the application of cutting-edge technologies.

Languages and Tools

                               

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  1. HappinessResearch HappinessResearch Public

    Exploratory data analysis.

    Jupyter Notebook

  2. DiabetesClassification DiabetesClassification Public

    A project using Python, Keras to classify diabetes in patients based on their glucose levels, weight, and other information

    Jupyter Notebook

  3. Cali_HousingPrediction Cali_HousingPrediction Public

    This project walks through the process of using regression to predict historical housing prices in California.

    Jupyter Notebook

  4. cleanestCars cleanestCars Public

    A look at CO2 emissions based on different vehicle types and other attributes.

    Jupyter Notebook

  5. HousingMarketPredictor HousingMarketPredictor Public

    In this project we explore historical housing data and construct predictive modeling to predict housing prices with the hopes of capturing the decline in the current (2024) housing market.

    Jupyter Notebook

  6. CustomerSegmentation CustomerSegmentation Public

    Who is using the internet around the world? How are they accessing it?

    Jupyter Notebook