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.gitignore
 
 
1.02-lab-starter-code.ipynb
1.02-lab-starter-code.ipynb
 
 
1.06-starter-code.ipynb
1.06-starter-code.ipynb
 
 
2.04-statistical-inference-notes.ipynb
2.04-statistical-inference-notes.ipynb
 
 
2.06-starter-code.ipynb
2.06-starter-code.ipynb
 
 
3.03-feature-engineering-lab.ipynb
3.03-feature-engineering-lab.ipynb
 
 
3.04starter-code.ipynb
3.04starter-code.ipynb
 
 
4.03starter-code.ipynb
4.03starter-code.ipynb
 
 
4.04starter-code.ipynb
4.04starter-code.ipynb
 
 
4.05-starter-code.ipynb
4.05-starter-code.ipynb
 
 
4.07 gridsearch-multinomial-sf-crime-lab.ipynb
4.07 gridsearch-multinomial-sf-crime-lab.ipynb
 
 
5.01 Lab.ipynb
5.01 Lab.ipynb
 
 
5.02 NLP.ipynb
5.02 NLP.ipynb
 
 
ARIMA-lab.ipynb
ARIMA-lab.ipynb
 
 
DBSCAN-vs-kmeans-vs-hierarchical.ipynb
DBSCAN-vs-kmeans-vs-hierarchical.ipynb
 
 
README.md
README.md
 
 
ab-starter-code.ipynb
ab-starter-code.ipynb
 
 
classification-with-knn-NHL-lab.ipynb
classification-with-knn-NHL-lab.ipynb
 
 
describe-sales-data.ipynb
describe-sales-data.ipynb
 
 
mlr-assumptions-sacramento.ipynb
mlr-assumptions-sacramento.ipynb
 
 
neural_nets_lab.ipynb
neural_nets_lab.ipynb
 
 
pca-intro-lab-starter.ipynb
pca-intro-lab-starter.ipynb
 
 
practice-using-apis-lab.ipynb
practice-using-apis-lab.ipynb
 
 
predicting-evergreen-sites-lab.ipynb
predicting-evergreen-sites-lab.ipynb
 
 
python-movies-lab.ipynb
python-movies-lab.ipynb
 
 
python_oop-hypothesis-testing-lab.ipynb
python_oop-hypothesis-testing-lab.ipynb
 
 
regularizationstarter-code.ipynb
regularizationstarter-code.ipynb
 
 
simple-linear-regression-sacramento.ipynb
simple-linear-regression-sacramento.ipynb
 
 
starter-code.ipynb
starter-code.ipynb
 
 
svm-lab.ipynb
svm-lab.ipynb
 
 
timeseries-datetime-lab.ipynb
timeseries-datetime-lab.ipynb
 
 
train-test-cross-validation-lab.ipynb
train-test-cross-validation-lab.ipynb
 
 
webscraping-lincoln-quotes-mini-lab.ipynb
webscraping-lincoln-quotes-mini-lab.ipynb
 
 

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1.02-python-functions-lab

Week 1, Lesson 2: Functions Lab

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