一站式网上办事大厅

pip install tensorflow pandas scikit-learn

import pandas as pd

招生管理平台

# 加载数据

data = pd.read_csv('user_behavior.csv')

# 数据清洗

data.dropna(inplace=True)

# 特征选择

features = data[['page', 'time_of_day']]

labels = data['visit_frequency']

from sklearn.model_selection import train_test_split

from sklearn.ensemble import RandomForestClassifier

X_train, X_test, y_train, y_test = train_test_split(features, labels, test_size=0.2)

model = RandomForestClassifier()

model.fit(X_train, y_train)

const predictedPages = model.predict([[currentPage, currentTime]]);

if (predictedPages.includes('highFrequency')) {

preloadResources(['resource1.js', 'resource2.css']);

}