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  1. Financial-Inclusion-Data-Story Financial-Inclusion-Data-Story Public

    Analysis of financial resilience and broader financial inclusion through data visualizations

  2. Predicting-Financial-Resilience-in-the-Philippines Predicting-Financial-Resilience-in-the-Philippines Public

    Used Logistic LASSO Regression and Decision Tree models to predict and generate inferences on the determinants of financial resilience based on Global Financial Inclusion country data

    Jupyter Notebook

  3. Sentiment-Analysis--Customer-Reviews Sentiment-Analysis--Customer-Reviews Public

    Ran unlabeled sentiment analysis models, i.e., lexical-based (TextBlob) and transfer learning (Hugging Face transformer model), to predict customer ratings

    Jupyter Notebook

  4. Topic-Modeling--UN-Speeches Topic-Modeling--UN-Speeches Public

    Used Latent Dirichlet Allocation (LDA) to identify topic trends in speeches given by heads of state at the UN General Assembly from 1970 to 2015

    Jupyter Notebook

  5. Tutorial-NetworkX Tutorial-NetworkX Public

    Tutorial on Network Analysis and the NetworkX library in Python

    Jupyter Notebook 1

  6. Using-PCA-to-Analyze-Welfare-Attitudes-in-Europe Using-PCA-to-Analyze-Welfare-Attitudes-in-Europe Public

    Performed Principal Component Analysis (PCA) on the Welfare Attitudes Module of the European Social Survey in 2016

    Jupyter Notebook

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