摘要：#We import libraries for linear algebra, graphs, and evaluation of results import numpy as np import matplotlib.pyplot as plt from sklearn.linear_model import LinearRegression from sklearn.preproces... 阅读全文

摘要：import pandas as pd import numpy as np import matplotlib.pyplot as plt import matplotlib.image as mpimg import seaborn as sns %matplotlib inline np.random.seed(2) from sklearn.model_selection impo... 阅读全文

摘要：df = pd.read_csv("F:\\kaggleDataSet\\chennai-water\\chennai_reservoir_levels.csv") df["Date"] = pd.to_datetime(df["Date"], format='%d-%m-%Y') df.head() import datetime def scatter_plot(cnt_srs, ... 阅读全文

摘要：import numpy as np # linear algebra import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv) # plotly import chart_studio.plotly as py from plotly.offline import init_notebook_mode, i... 阅读全文

摘要：import pandas as pd # Data analysis import numpy as np #Data analysis import seaborn as sns # Data visualization import matplotlib.pyplot as plt # Data Visualization import matplotlib.gridspec as... 阅读全文

摘要：import numpy as np import pandas as pd import os import matplotlib.pyplot as pl import seaborn as sns import warnings warnings.filterwarnings('ignore') data = pd.read_csv('F:\\kaggleDataSet\\Medic... 阅读全文

摘要：# This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python # For example, here's sev... 阅读全文

摘要：from albumentations import * import time IMG_SIZE = (224,224) '''Use case from https://www.kaggle.com/alexanderliao/image-augmentation-demo-with-albumentation/''' def albaugment(aug0, img): ret... 阅读全文

摘要：from keras import layers from keras.models import Model import keras.backend as K K.clear_session() densenet = DenseNet121(weights=None,include_top=False,input_shape=(None,None,3)) GAP_layer = l... 阅读全文

摘要：dpi = 80 #inch path_jpg=f"F:\\kaggleDataSet\\diabeticRetinopathy\\resized_train_cropped\\18017_left.jpeg" # too many vessels? path_png=f"F:\\kaggleDataSet\\diabeticRetinopathy\\rescaled_train_896\\1... 阅读全文

摘要：%%time NUM_SAMP=10 fig = plt.figure(figsize=(25, 16)) for jj in range(5): for i, (idx, row) in enumerate(df_test.sample(NUM_SAMP,random_state=SEED+jj).iterrows()): ax = fig.add_subplot(5,... 阅读全文

摘要：def circle_crop(img, sigmaX=10): """ Create circular crop around image centre """ img = cv2.imread(img) img = crop_image_from_gray(img) img = cv2.cvtColor(img, ... 阅读全文

摘要：%%time fig = plt.figure(figsize=(25, 16)) for class_id in sorted(train_y.unique()): for i, (idx, row) in enumerate(df_train.loc[df_train['diagnosis'] == class_id].sample(5, random_state=SEED).ite... 阅读全文

摘要：# This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python # For example, here's seve... 阅读全文

摘要：# This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python # For example, here's sev... 阅读全文

摘要：# This Python 3 environment comes with many helpful analytics libraries installed # It is defined by the kaggle/python docker image: https://github.com/kaggle/docker-python # For example, here's sev... 阅读全文

摘要：drop_list1 = ['perimeter_mean','radius_mean','compactness_mean','concave points_mean','radius_se','perimeter_se','radius_worst','perimeter_worst','compactness_worst','concave points_worst','compactne... 阅读全文

摘要：import os import numpy as np import matplotlib.pyplot as plt from PIL import Image, ImageChops from skimage import color,data,transform,io #获取所有数据文件夹名称 fileList = os.listdir("F:\\data\\flowers") tra... 阅读全文

摘要：运行效果如下： 详细代码分析过程如下： （1）导入需要用到的python包或函数 （4）将dataset数据进行归一化处理，使用kmeans函数进行聚类,输入第一个参数是数据,第二个参数为聚类个数2，k-means最后输出的结果其实是两维的,第一维是聚类中心,第二维是损失distortion，新建一 阅读全文

摘要：最后运行效果如下： （5）显示上面的dataset分类结果，并且保存到一个文件里面。 （6）将上面保存的dataset图片读取进来，并且获得它第2通道图片特征，显示这个图片特征灰色图片如下图，结合上面dataset图片很明显，需要特别显示的大细胞和非细胞已经区分得很清晰了。 （7）现在直接把data 阅读全文