Config files for my GitHub profile.

In progress. Modeling shopper purchase propensity for a ficticious online retail website.

A/B testing impact of progression system changes on player retention / interaction. Non-parametric hypothesis testing and power transformations for non-normally distributed data.

Recency, Frequency, and Monetary Value (RFM) analysis and customer segmentation for transactional data. Unsupervised cluster learning to delineate customer types.

Dask-parallelized project, contrasting GaussianNB and LightGBM models for EMNIST handwritten character classification.

Optimizing LinearSVC models trained on the MNIST Handwritten Digits dataset, includes ensemble methods and bayesian optimization.

Quick visualization of linear decision boundaries for a scratch-implemented perceptron classifier. Model evaluates loss function with each weight / bias update and will store away best performing p…

A notebook covering tweet natural language processing, from data munging to predictive model creation and evaluation. Sentiment analysis will be used to classify tweet body text as positive or nega…

Partial scratch-implementation of coordinate descent, using a specified feature selector method to choose and later update a coordinate's corresponding weight. This behavior mimics the "fit" functi…

Comparison of scratch-implemented and sklearn nearest neighbors methods for classification of vertebral patient data. Using multiple distance metrics, models were k-value optimized to reduce error …

A quick comparison of two (K-Means and hierarchical/agglomerative) clustering methods for text-based animal species classification.

Gaussian naive Bayes classifier for digits in the MNIST dataset. Similar in nature to my other repo ("newsgroup-naive-bayes"), albeit instead of multinomial document classification, this repo explo…

Multinomial naive Bayes newsgroup document classification without relying on pre-built sklearn modules. Smoothing and inverse document frequencies utilized to improve model accuracy.

EDA and association rule mining for a Metacritic-sourced dataset of Nintendo games, with comprehensive game-specific data like review scores, release date, developers, genres, and ESRB rating.

Xbox Game Pass subscription value quantification and visualization.

Frequency analysis of historical Billboard Hot 100 lists based on an artist's supporting vs main artist numbers.

A brief look at drug use trends in the United States, as they relate to: earliest age of consumption, and impact on mental health.