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1. Deep_Learning_Charity_Data Deep_Learning_Charity_Data Public

   The purpose of this module was to determine the accuracy of deep learning models (i.e., neural networks) designed to predict whether a charitable organization would be "successful" if funded.

   Jupyter Notebook

2. Supervised-Credit_Risk_Eval Supervised-Credit_Risk_Eval Public

   The purpose of this assignment was to build different machine learning models that attempt to predict whether a loan from the Lending Club will become high-risk or not. For this assignment, we comp…

   Jupyter Notebook

3. Unsupervised-Crypto_data Unsupervised-Crypto_data Public

   This project aimed to (a) use various unsupervised learning strategies and (b) determine whether select cryptocurrency data can be groups in distinct clusters.

   Jupyter Notebook 1

4. Airbnb-Data-Analysis Airbnb-Data-Analysis Public

   Forked from SwapnaSubbagari/Airbnb-Data-Analysis---Project-3

   The purpose of this project was to tell a story of Airbnb accommodations using data visualizations. Here, we propose to use visualizations to graphically display different filters based on price po…

   Jupyter Notebook

5. Georgia-Accountability-Court-Graduation-Prediction Georgia-Accountability-Court-Graduation-Prediction Public

   Forked from SwapnaSubbagari/Georgia-Accountability-Court-Success-Prediction

   The purpose of this study was to use a variety of machine learning techniques to determine relevant features for Accountability Court Graduation and deploy a machine learning model in a Heroku app.

   Jupyter Notebook

6. NLP_health_promotion_theory NLP_health_promotion_theory Public

   The purpose of this study was to determine whether Natural Language Processing can be used accurately identify theoretical constructs associated with health behaviors.

   Jupyter Notebook