Breadcrumb
Emily Chang
Lecturer
SKILLS
PROGRAMMING
Python: Scikit‑learn, Statsmodels, Pandas,
Matplotlib, TensorFlow, PyTorch, NLTK
R Statistics: lm/glm, ANOVA, ggplot
HTML/CSS
STATISTICS/ANALYSIS
Disease Modeling
Model Fitting
Regression Analysis
Maximum Likelihood Estimation methods
Machine Learning: supervised and unsupervised classification, Natural Language Processing
SOFTWARE
Windows/Mac
Access
Excel, Google Sheets
Adobe Illustrator
Tableau, Power BI
LINKS
Blog:// mlekimchi
Kaggle:// emilykchang
- MS Data Science, Johns Hopkins
- BS Environmental Science, University of Hawa`i`, Manoa
- MATH 101 College Algebra
- MATH 101i/1 College Algebra IS
- DATA 271 Data Wrangling & Visualization
- DATA 111 Introduction to Data Science