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dalvarez83/README.md

Hi there πŸ‘‹

  • πŸ”­ I’m currently working on applying machine learning for geospatial anomaly detection and classification problems.
  • 🌱 I’m currently learning deep learning methods to apply in real-world use cases.
  • πŸ‘― I’m looking to collaborate on social good-minded projects.
  • πŸ€” I’m looking for help with geo-spatial analysis and building interactive dashboards showcasing model results on maps.
  • πŸ’¬ Ask me about statistical inference, R
  • πŸ“« How to reach me: through Linked-in profile
  • πŸ˜„ Pronouns: he/him
  • ⚑ Fun fact: I find good comedy to be great way to relieve stress. I also speak a few human languages.

Pinned

  1. Propensityscoring_Stata Propensityscoring_Stata Public

    Examples of propensity scoring models to examine treatment effects performed in Stata

    Stata 1 4

  2. Logistic-regression-and-classification Logistic-regression-and-classification Public

    This repository presents examples of logistic regression and classification models

    Jupyter Notebook

  3. Baby-food-selection-as-an-OOP-application Baby-food-selection-as-an-OOP-application Public

    In this project, I build a baby food menu whereby each food item on the menu triggers a response from the baby using Object-Oriented Programming.

    Python

  4. Gender_Experiment Gender_Experiment Public

    R Code and reporting output for randomized causal inference study to answer question on whether there is bias in following directions from gendered voices.

    TeX

  5. Spark_Project_Analysis_Example Spark_Project_Analysis_Example Public

    Example of machine learning at scale (distributed data). Developing a distributed PySpark pipeline for implementing logistic regression and random forest algorithms to predict click-through rates.

    Jupyter Notebook

  6. AustinDoolittle/W241-Final-Project AustinDoolittle/W241-Final-Project Public

    Source code for an experiment exploring gender interactions

    JavaScript