notebooks/figures - jakevdp/PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

0 0 6 Jupyter Notebook

	02.05-broadcasting.png	16.6 KB
	03.08-split-apply-combine.png	24.9 KB
	05.01-classification-1.png	14.5 KB
	05.01-classification-2.png	20.1 KB
	05.01-classification-3.png	23.5 KB
	05.01-clustering-1.png	10.8 KB
	05.01-clustering-2.png	23.5 KB
	05.01-dimesionality-1.png	12.8 KB
	05.01-dimesionality-2.png	30.6 KB
	05.01-regression-1.png	37.1 KB
	05.01-regression-2.png	54.6 KB
	05.01-regression-3.png	43.1 KB
	05.01-regression-4.png	35.6 KB
	05.02-samples-features.png	7.5 KB
	05.03-2-fold-CV.png	7.6 KB
	05.03-5-fold-CV.png	10.2 KB
	05.03-bias-variance-2.png	44.3 KB
	05.03-bias-variance.png	36.2 KB
	05.03-learning-curve.png	29.5 KB
	05.03-validation-curve.png	36.3 KB
	05.05-gaussian-NB.png	50.2 KB
	05.06-gaussian-basis.png	30.1 KB
	05.08-decision-tree-levels.png	118.1 KB
	05.08-decision-tree-overfitting.png	48.0 KB
	05.08-decision-tree.png	33.2 KB
	05.09-digits-pca-components.png	14.7 KB
	05.09-digits-pixel-components.png	7.2 KB
	05.09-PCA-rotation.png	30.0 KB
	05.10-LLE-vs-MDS.png	155.7 KB
	05.11-expectation-maximization.png	152.2 KB
	05.12-covariance-type.png	60.5 KB
	array_vs_list.png	75.1 KB
	cint_vs_pyint.png	14.5 KB
	Data_Science_VD.png	74.9 KB
	PDSH-cover-small.png	15.3 KB
	PDSH-cover.png	106.5 KB