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Galvanize
- San Francisco, CA
- linkedin.com/in/chrisnoelseymour
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recommender
recommender PublicCreated a recommender for a set of jokes using GraphLab library for matrices. Used Rank Factorization Recommender Model to rank relative peformance of each joke for each user.
Jupyter Notebook
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reapplication-analysis
reapplication-analysis PublicWorked with data from a company that helps students reapply to college after having dropped out. Created a Logistic Regression model to determine which factors are most influential in determining w…
Python
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Churn_prediction_case_study
Churn_prediction_case_study PublicForked from haowei772/Case_study_02
My team analyzed rideshare data to predict what customers will churn. Best model, Gradient Boosting Classifier, performed at .79 accuracy over a baseline of .60 after tuning hyperparameters.
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customer-scripts
customer-scripts PublicForked from looker-open-source/customer-scripts
customer scripts
Shell
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