THE DATA SCIENCE LIBRARY

In [1]: import pandas as pd import numpy as np import seaborn as sns import matplotlib.pyplot as plt df= pd.read_csv(’c:/1/Stroke_Prediction.csv’) df.head(5) Out[1]: ID Gender Age_In_Days […]

http://sigmaquality.pl/models/classification/part_5-stroke_prediction-tensorflow/ In [1]: import torch from torch.autograd import Variable import torch.nn.functional as F import torch.utils.data as Data import matplotlib.pyplot as plt import numpy as np import […]

Part_4 Stroke_Prediction – Modele klasyfikacji In [1]: import pandas as pd import numpy as np import seaborn as sns import matplotlib.pyplot as plt df= pd.read_csv(’c:/1/Stroke_Prediction_NUM.csv’) […]

Part_3 Stroke_Prediction – Czy palenie przyczynia się do udaru mózgu W tej części przeprowadzę klasyfikację za pomocą modeli Model regresji logistycznej Random Forest Classifier Naive […]

Protected: Part_2 Stroke_Prediction – Preparation of data for the classification process Analiza ONE-WAY ANOVA¶ In [1]: import pandas as pd import numpy as np import seaborn […]

Part_1 Stroke_Prediction – Preparation of data for analysis In [1]: import pandas as pd import numpy as np import seaborn as sns import matplotlib.pyplot as […]

In [1]: from sklearn.datasets import load_breast_cancer from sklearn.feature_selection import RFECV from sklearn.model_selection import GridSearchCV from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestClassifier import pandas as […]

Procedura 2: RandomForestClassifier¶ In [1]: from sklearn.datasets import load_breast_cancer from sklearn.feature_selection import RFECV from sklearn.model_selection import GridSearchCV from sklearn.model_selection import train_test_split from sklearn.ensemble import RandomForestClassifier import […]

In [1]: import time start_time = time.time() ## pomiar czasu: start pomiaru czasu print(time.ctime()) Wed Mar 11 07:58:05 2020 In [2]: import torch import torch.nn as […]