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bias_variance_tradeoff_simulation

A simulation of bias and variance tradeoff in the case of K-NN regression and K-NN classification

decison_tree_test_errors

Comparison of test errors as a function of number of trees between stump. decision tree, bagging, random forest and adaboost

ffcws_final_project

The final project of my graduate data analysis course which drew on FFCWS longitudinal data to examine the associations between mothers' continuing education and their subsequent self-reported health

machine_learning_employee_attrition

The final project of my undergraduate machine learning course in which I used various supervised learning algorithms including logistic regression, LDA, KNN, decision tree, random forest, SVM and stochastic gradient boosting to explore the influencing factors of employee attrition and compared the predictive performance of different models

machine_learning_hw5

naive_bayes_classification_trump_tweets

Constructed a Naive Bayes Classifier using five features including hashtags, punctuations, quotation marks, pictures or links, and time period to identify whether Trump's tweet was sent by himself or a staff

pa_lung_cancer_chloropleth_map

so100

spatial_statistics_nyc_stops_and_frisks

The final project of my graduate applied spatial statistics course in which I plotted choropleth maps, conducted Geary and Moran tests and constructed lagged Poisson regression model to examine the spatially-autocorrelated patterns of NYC policing stop rates

web_scrapping_sentiment_analysis_machine_learning_book_review

The final project of my graduate messy data and machine learning course in which I used sentiment analysis as an approach of feature selection and constructed logistic regression and random forest models to predict whether a book review is positve or negative given its content