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Below is an instruction that describes a task. Write a respo...

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Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: Construct a neural network in Python that can perform basic regression. ### Input: Not applicable ### Output: import numpy as np import pandas as pd from sklearn.model_selection import train_test_split from keras.models import Sequential from keras.layers import Dense # Load the data data = pd.read_csv('data.csv') # Split the data into features and labels X = data.drop(['label'], axis=1).values y = data['label'].values # Split the data into training and testing sets X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) # Create the neural network model = Sequential() model.add(Dense(12, input_dim=X.shape[1], kernel_initializer='normal', activation='relu')) model.add(Dense(12, kernel_initializer='normal', activation='relu')) model.add(Dense(1, kernel_initializer='normal')) # Compile the model model.compile(loss='mean_squared_error', optimizer='adam') # Train the model model.fit(X_train, y_train, epochs=100, batch_size=20, verbose=0) # Evaluate the model score = model.evaluate(X_test, y_test, verbose=0) print('Test score:', score)

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Hugging Face

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