Name		Name	Last commit message	Last commit date
Latest commit History 29 Commits
.Rhistory		.Rhistory
.gitignore		.gitignore
02-01_list_string_basics.ipynb		02-01_list_string_basics.ipynb
02-02 numpy.ipynb		02-02 numpy.ipynb
02-03 More NumPy.ipynb		02-03 More NumPy.ipynb
03-01 Pandas Basics.ipynb		03-01 Pandas Basics.ipynb
03-02 More Pandas.ipynb		03-02 More Pandas.ipynb
03-03 EDA with Pandas .ipynb		03-03 EDA with Pandas .ipynb
04-01 intro matplotlib.ipynb		04-01 intro matplotlib.ipynb
04-02 More Matplotlib.ipynb		04-02 More Matplotlib.ipynb
04-03 Basic Statistical Graphs with Seaborn.ipynb		04-03 Basic Statistical Graphs with Seaborn.ipynb
05-01 linear regression with sk learn.ipynb		05-01 linear regression with sk learn.ipynb
05-02 basics of cross validation.ipynb		05-02 basics of cross validation.ipynb
05-03 training, testing, cross_validating for classification.ipynb		05-03 training, testing, cross_validating for classification.ipynb
06-01 Cleaning up data.ipynb		06-01 Cleaning up data.ipynb
06-02 Useful Python tools.ipynb		06-02 Useful Python tools.ipynb
06-03 Tidy data.ipynb		06-03 Tidy data.ipynb
08-02 statsmodels.ipynb		08-02 statsmodels.ipynb
BMX_I.XPT		BMX_I.XPT
DEMO_I.XPT		DEMO_I.XPT
README.md		README.md
Untitled.ipynb		Untitled.ipynb
example1.csv		example1.csv
example2.csv		example2.csv
example3.csv		example3.csv
pima-indians-diabetes.csv		pima-indians-diabetes.csv
test R notebook.ipynb		test R notebook.ipynb
test.txt		test.txt
trials_01.csv		trials_01.csv
trials_02.csv		trials_02.csv
trials_03.csv		trials_03.csv

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Stats 131

Lecture Notebooks for Stats 131

The course webpage is https://ccle.ucla.edu