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api_mini_project

apps_case_study

bayesian_optimization_case_study

calculatingdistancecasestudy

churn_prediction

Predicted customers churning for a ride sharing app, defined as not having used the app for 30 days. Final model was logistic regression, which gave us an estimated 4% increase in profits compared to our baseline model.

clustering_case_study

cosinesimilaritycasestudy

data_storytelling

decision_trees_case_study

fake_job_postings

fraud_detection

A Gradient Boosted Model that triages fraudulent events, and recommends whether or not to flag a given event for further investigation.

frequentist_case_study

gradient_boosting_case_study

gridsearchknn_case_study

guidedcapstone

jokes-recommender-case-study

Create a jokes recommender based on publicly available Jester jokes datatset using Graphlab's matrix factorization

linear_regression_case_study

logistic_regression_case_study

ml-class

Materials for class on machine learning/deep learning using scikit-learn, tensorflow and keras

random_forest_case_study

springboard-london-housing-case-study

First case study for springboard

sql-case-study

starcraft_strats

Cluster strategies in Starcraft through NMF and look for interesting trends

stardata

Starcraft AI Research Dataset

time-series-case-study

trac_prediction

Used Linear regression model to predict the selling price of a tractor based on parameters which include, age, location and few other parameters. Regularized the model using Lasso method to reduce impact of noise. Primary work was focused on extracting insightful features, which increased accuracy to 70%.