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

The prompt

Below is an instruction that describes a task. Write a response that appropriately completes the request. ### Instruction: Create a machine learning model in Python that predecits customer lifetime value given a customer's past transactions. ### Input: Not applicable ### Output: import pandas as pd import numpy as np from sklearn.preprocessing import StandardScaler from sklearn.ensemble import RandomForestRegressor # Preprocessing df = pd.read_csv('transactions.csv') X = df.iloc[:,:-1].values y = df.iloc[:,-1].values scaler = StandardScaler() X = scaler.fit_transform(X) # Model Training model = RandomForestRegressor() model.fit(X, y) # Prediction customer_input = np.array([[10,100,5,...]]) # provide data related to past transactions trans_scaled = scaler.transform(customer_input) predicted_LTV = model.predict(trans_scaled)[0] print('Predicted customer lifetime value', predicted_LTV)

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Source

Hugging Face

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