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  1. Financial-Campaign-SQL-Schema-and-Script Financial-Campaign-SQL-Schema-and-Script Public

    A MySQL database schema and script for a Texas political campaign dataset. It contains information on expenditures and received payments reported by candidates, officeholders, and committees. The s…

  2. Medium-Post-1-Exploratory-Analysis-of-YouTube-Statistics Medium-Post-1-Exploratory-Analysis-of-YouTube-Statistics Public

    This is code for my exploratory of analysis of YouTube Statistics to determine which metrics influence channel revenue most. A DataFrame is created, and multiple groupby functions with various feat…

    Jupyter Notebook

  3. Medium-Post-2-Network-Analysis-of-Amazon-Product-Metadata Medium-Post-2-Network-Analysis-of-Amazon-Product-Metadata Public

    This is a network analysis of Amazon product metadata that creates nodes out of product ASIN's and edges out of their co-purchases. Calculations are done for in-degree centrality for each node to d…

    Jupyter Notebook

  4. Medium-Post-4-Clustering-Credit-Card-Usage-Behavior Medium-Post-4-Clustering-Credit-Card-Usage-Behavior Public

    This is an analysis of credit card data that clusters data points by usage behavior using K-means (unsupervised machine learning algorithm). To find the optimal value of k, the elbow method is done…

    Jupyter Notebook

  5. Medium-Post-5-Classifying-Spam-with-Multinomial-Bayes-Theorem Medium-Post-5-Classifying-Spam-with-Multinomial-Bayes-Theorem Public

    This is an analysis of SMS texts from the UCI Machine Learning Repository. Supervised learning is performed with a model (Multinomial NB) from sklearn.naive_bayes. It is trained and tested using th…

    Jupyter Notebook

  6. Multiple-Machine-Learning-Model-Application-and-Evaluation-for-Global-Health Multiple-Machine-Learning-Model-Application-and-Evaluation-for-Global-Health Public

    I trained and tested 4 machine learning models (Decision trees, SVM, KNN, and XGBoost classifiers) on a synthesized global health dataset. It contains features such GDP_per_capita, Health_spending,…

    Jupyter Notebook