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Add sponsorship budget prediction example (first pass)
September 22, 2017 18:47
images
add old faithful greyser image
April 25, 2015 20:02
setup
let vagrant user install scikit-learn
April 15, 2015 08:15
.gitignore
Ignore venv 🐻
February 1, 2019 18:41
Pipfile
Implement K-Means with scikit-learn 🐻
February 1, 2019 18:41
Pipfile.lock
Implement K-Means with scikit-learn 🐻
February 1, 2019 18:41
README.md
Use pipenv instead of pip requirements 🐻
March 21, 2019 20:20
Vagrantfile
add Vagrantfile and bootstrap script for installing scikit-learn
April 14, 2015 22:51
churn.ipynb
Make it compatible with Python 3
July 3, 2016 14:46
digits.ipynb
Add hand written recognition example 🐻
March 13, 2019 20:01
gridsearchcv.ipynb
Add GridSearchCV example 🐻
March 13, 2019 22:09
kmeans.ipynb
Revise some 🐻
March 21, 2019 16:49
kmeans.py
Implement K-Means with scikit-learn 🐻
February 1, 2019 18:41
knn.ipynb
Revise some 🐻
March 21, 2019 16:49
linear-regression-from-scratch.ipynb
Add implementation of linear regression and perceptron from scratch 🐻
March 2, 2020 19:41
linear_regression.ipynb
Add more example + classification problem 🐻
April 11, 2019 13:10
naive_bayes.ipynb
Revise some 🐻
March 21, 2019 16:49
pca.ipynb
Add PCA 🐻
May 21, 2019 21:02
perceptron-from-scratch.ipynb
Add implementation of linear regression and perceptron from scratch 🐻
March 2, 2020 19:41
save_model.ipynb
Write example about model persistence 🐻
March 21, 2019 20:15
sponsorship-budget-prediction.ipynb
Revise after talk (y -> dependent variable, not label)
September 23, 2017 19:32
svm.ipynb
Make it compatible with Python 3
July 3, 2016 14:46
tree.dot
Add dot and png files (from decision tree model) 🐻
February 14, 2019 10:21
tree.ipynb
Use export_graphviz to generate DOT file 🐻
February 14, 2019 08:52
tree.png
Add dot and png files (from decision tree model) 🐻
February 14, 2019 10:21