Course work for Data Warehousing and Data Mining @ University of New South Wales 2019 semester 1

Name		Name	Last commit message	Last commit date
Latest commit History 34 Commits
Lab1		Lab1
Lab2		Lab2
Lab3		Lab3
Lab4		Lab4
Lab5		Lab5
asset		asset
.gitignore		.gitignore
L0 - python3 and jupyter.ipynb		L0 - python3 and jupyter.ipynb
L1 - Pandas-1.ipynb		L1 - Pandas-1.ipynb
L1 - Pandas-2.ipynb		L1 - Pandas-2.ipynb
L1 - numpy-fundamentals.ipynb		L1 - numpy-fundamentals.ipynb
L2 - BUC.ipynb		L2 - BUC.ipynb
L3 - Preprocessing.ipynb		L3 - Preprocessing.ipynb
L4 - Optimal Histogram.ipynb		L4 - Optimal Histogram.ipynb
L5 - Decision Tree.ipynb		L5 - Decision Tree.ipynb
L6 - GaussianNB, KNN, and Cross-Validation.ipynb		L6 - GaussianNB, KNN, and Cross-Validation.ipynb
L7 - Multinomial and Bernoulli Naive Bayes Classifiers.ipynb		L7 - Multinomial and Bernoulli Naive Bayes Classifiers.ipynb
L8 - Hierarchical Clustering.ipynb		L8 - Hierarchical Clustering.ipynb
L8 - KMeans Clustering.ipynb		L8 - KMeans Clustering.ipynb
LICENSE		LICENSE
Linear_Algebra.ipynb		Linear_Algebra.ipynb
README.md		README.md
ass1-sol.pdf		ass1-sol.pdf
cs9318_exam.pdf		cs9318_exam.pdf

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