Pattern Recognition Coursework

For submitting and sharing Pattern Recognition coursework

用于提交和分享模式识别课程的作业

Format

The language used for this coursework was Python, and the file format used was .ipynb, a format for interactive notebook programs

If it's difficult to be viewed on Github directly, you can use this page https://nbviewer.org/

本次作业使用的语言为 Python，文件格式采用了 .ipynb，一种交互式笔记本程序的格式

如果无法直接在 Github 游览，可以使用该网页 https://nbviewer.org/

Name		Name	Last commit message	Last commit date
Latest commit History 14 Commits
AdaBoost.md		AdaBoost.md
BPNN.ipynb		BPNN.ipynb
Decision_tree.ipynb		Decision_tree.ipynb
EM_Algorithm.ipynb		EM_Algorithm.ipynb
KLdivergence.md		KLdivergence.md
LeastSquare.md		LeastSquare.md
Logistic_regression.ipynb		Logistic_regression.ipynb
Metrics.ipynb		Metrics.ipynb
NaiveBayes.ipynb		NaiveBayes.ipynb
PCA_kernel.ipynb		PCA_kernel.ipynb
Perceptron.ipynb		Perceptron.ipynb
README.md		README.md
SVM.ipynb		SVM.ipynb
heart.csv		heart.csv
metrics.py		metrics.py