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Python 2022-02-18 07:30:05
multiclass classification model
knn=KNeighborsClassifier() svc=SVC() lr=LogisticRegression() dt=DecisionTreeClassifier() gnb=GaussianNB() rfc=RandomForestClassifier() xgb=XGBClassifier() gbc=GradientBoostingClassifier() ada=AdaBoostClassifier() ------------------------------------------... Add solution -
Python 2022-02-10 07:35:02
python scatterplot figsize
plt.figure(figsize=(8, 8)) plt.scatter(x, y) Add solution -
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Python 2022-02-01 20:30:14
random forrest plotting feature importance function
def plot_feature_importances(model): n_features = data_train.shape[1] plt.figure(figsize=(20,20)) plt.barh(range(n_features), model.feature_importances_, align='center') plt.yticks(np.arange(n_features), data_train.columns.values) pl... Add solution -
Other 2022-01-31 13:30:34
seaborn heatmap xlabel rotation
plt.figure(figsize=(10,10)) g = sns.heatmap( by_sport, square=True, cbar_kws={'fraction' : 0.01}, cmap='OrRd', linewidth=1 ) g.set_xticklabels(g.get_xticklabels(), rotation=45, horizontalalignment='right') g.set_yticklabels(g.get_yti... Add solution -
Python 2022-01-29 09:26:37
k-means
import tkinter as tk from tkinter import filedialog import pandas as pd from pandas import DataFrame import matplotlib.pyplot as plt from sklearn.cluster import KMeans from matplotlib.backends.backend_tkagg import FigureCanvasTkAgg root= tk.Tk() canvas1... Add solution -
Python 2022-01-28 22:55:46
hierarchical clustering dendrogram python example
from scipy.cluster.hierarchy import dendrogram, linkage from matplotlib import pyplot as plt linked = linkage(X, 'single') labelList = range(1, 11) plt.figure(figsize=(10, 7)) dendrogram(linked, orientation='top', labels=labelLi... Add solution