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Sam Kenkel

Data Science, Machine Learning, DevOps, CCNA, ACSR
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Projects

Current Projects (in Progress)

Anime_Rec:

General Assembly capstone project, built recommendation engine based on user reviews of Anime from myanimelist.net using Keras/Tensorflow to predict user scores, TF-IDF Cosine pairwise distance, Latent Factors Cosine pairwise distance, and User Review cosine pairwise distance to generate possible shows to recommend.

Projects(Completed):

Lol_Scout:

Used the Riot Games API to scrape match data and player stats to create a model that would predict win/loss for a games based on characters chosen and individual player-skill with those characters. Compared XGBoost and Wide+Deep Neural net architecture for classifier accuracy.

Kaggle-Titanic:

Used Pipelines, several type of complex feature extraction to evaluate a number of different classifiers, including K-Nearest Neighbors, RandomForest, Log-Reg, SVM and a Neural Net classifier.