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def sort_messages(messages):
return sorted(messages, key=lambda x: x['timestamp'], reverse=True)
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import pandas as pd
data = pd.read_csv('user_logs.csv')
features = data[['user_id', 'message_count']]
labels = data['rank']
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from tensorflow.keras.models import Sequential
from tensorflow.keras.layers import Dense
model = Sequential([
Dense(64, activation='relu', input_shape=(2,)),
Dense(32, activation='relu'),
Dense(1)
])
model.compile(optimizer='adam', loss='mse')
model.fit(features, labels, epochs=10)
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