GitHub - ptiwaree/MLFoundations: Machine Learning Foundations: A Case Study Approach by University of Washington

Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
Analyzing+Product+Sentiment.py		Analyzing+Product+Sentiment.py
Deep+Features+for+Image+Classification.py		Deep+Features+for+Image+Classification.py
Deep+Features+for+Image+Retrieval.py		Deep+Features+for+Image+Retrieval.py
Document+Retrieval.py		Document+Retrieval.py
Week2-regression-scitkit.ipynb		Week2-regression-scitkit.ipynb
Week2-regression.ipynb		Week2-regression.ipynb
Week3-classification-scikit.ipynb		Week3-classification-scikit.ipynb
Week3-classification.ipynb		Week3-classification.ipynb
Week4-Clustering.ipynb		Week4-Clustering.ipynb
_46994807796a1213d2699c6d9a09667c_kc_house_data.csv.zip		_46994807796a1213d2699c6d9a09667c_kc_house_data.csv.zip
_46994807796a1213d2699c6d9a09667c_kc_house_test_data.csv.zip		_46994807796a1213d2699c6d9a09667c_kc_house_test_data.csv.zip
_46994807796a1213d2699c6d9a09667c_kc_house_train_data.csv.zip		_46994807796a1213d2699c6d9a09667c_kc_house_train_data.csv.zip
certificate1.pdf		certificate1.pdf
git_commands.txt		git_commands.txt
home_data.gl.zip		home_data.gl.zip
intro.pdf		intro.pdf
introduction_to_sframes.ipynb		introduction_to_sframes.ipynb
kc_house_data.csv		kc_house_data.csv
kc_house_test_data.csv		kc_house_test_data.csv
kc_house_train_data.csv		kc_house_train_data.csv
regression-intro-annotated.pdf		regression-intro-annotated.pdf

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Machine Learning Foundations: A Case Study Approach by University of Washington

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