from?IPython.display?import?set_matplotlib_formats?display
import?pandas?as?pd
import?numpy?as?np
import?matplotlib.pyplot?as?plt
import?mglearn
from?cycler?import?cycler

set_matplotlib_formats（‘pdf‘?‘png‘）
plt.rcParams[‘figure.dpi‘]?=?300
plt.rcParams[‘image.cmap‘]?=?“viridis“
plt.rcParams[‘image.interpolation‘]?=?“none“
plt.rcParams[‘savefig.bbox‘]?=?“tight“
plt.rcParams[‘lines.linewidth‘]?=?2
plt.rcParams[‘legend.numpoints‘]?=?1
plt.rc（‘axes‘?prop_cycle=（
????cycler（‘color‘?mglearn.plot_helpers.cm_cycle.colors）?+
????cycler（‘linestyle‘?[‘-‘?‘-‘?“--“?（0?（3?3））?（0?（1.5?1.5））]）））

np.set_printoptions（precision=3?suppress=True）

pd.set_option（“display.max_columns“?8）
pd.set_option（‘precision‘?2）

__all__?=?[‘np‘?‘mglearn‘?‘display‘?‘plt‘?‘pd‘]

?屬性????????????大小?????日期????時間???名稱
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????.......????????32??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\.gitignore

????.......???1257234??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\01-introduction.ipynb

????.......??14175064??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\02-supervised-learning.ipynb

????.......??25009465??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\03-unsupervised-learning.ipynb

????.......???5163624??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\04-representing-data-feature-engineering.ipynb

????.......????933661??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\05-model-evaluation-and-improvement.ipynb

????.......????150103??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\06-algorithm-chains-and-pipelines.ipynb

????.......????503970??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\07-working-with-text-data.ipynb

????.......??????2959??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\08-conclusion.ipynb

????.......?????76761??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\cover.jpg

????.......???3974305??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\data\adult.data

????.......????688092??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\data\citibike.csv

????.......??????5822??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\data\ram_price.csv

????.......?????27976??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\images\05_gridsearch_overview.png

????.......?????22631??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\images\api_table.png

????.......?????27391??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\images\bag_of_words.png

????.......?????68020??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\images\bag_of_words.svg

????.......????511840??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\images\classifier_comparison.png

????.......?????14627??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\images\dendrogram.png

????.......????690685??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\images\iris_petal_sepal.png

????.......???7059860??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\images\iris_petal_sepal.svg

????.......?????10857??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\images\overfitting_underfitting_cartoon.png

????.......?????40987??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\images\overfitting_underfitting_cartoon.svg

????.......?????28296??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\images\pipeline.png

????.......?????36757??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\images\pipeline.svg

????.......??????1909??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\mglearn\datasets.py

????.......??????3190??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\mglearn\make_blobs.py

????.......??????3272??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\mglearn\plots.py

????.......??????3954??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\mglearn\plot_2d_separator.py

????.......??????3449??2017-06-27?11:59??Introduction?to?Machine?Learning?with?Python?A?Guide?for?Data?Scientists\Code\mglearn\plot_agglomerative.py

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