STA 160 Practice in Statistical Data Science
STA 160 Practice in Statistical Data Science
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Instructor: Xiao Hui Tai
This course serves as a capstone course in which the students focus on the practice of data analysis, and both statistical and computational reasoning.
Students work on all steps in the data pipeline and workflow to get authentic experience in analyzing and working with data.
Discussion Materials
Discussion Materials
Discussion 1: STA160 Discussion 01 Python Basics.ipynb
Discussion 2: STA160 Discussion 02 DataFrame, Preprocessing and Visualization.ipynb
Discussion 3: STA160 Discussion 03 Regression.ipynb
Discussion 4: STA 160 Discussion 04 Classification.ipynb
Discussion 5: STA160 Discussion 05 Classification, oversampling and undersampling.ipynb
Discussion 6: STA160 Discussion 06 Tree and Ensemble Learning .ipynb
Discussion 7: STA160 Discussion 07 Time Series Analysis.ipynb
Discussion 8: STA160 Discussion 08 Unsupervised Learning.ipynb
Discussion 9: STA160 Discussion 09 PyTorch & Neural Networks.ipynb
Discussion 10: STA160 Discussion 10 Transformers.ipynb
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