Rain Forecasting in Python

Published: 28 March 2023
on channel: Learn to Grow !!!

Try it Out !!!

import pandas as pd
import numpy as np
from statsmodels.tsa.ar_model import AutoReg
data = pd.read_csv('rainfall_data.csv')
data['Date'] = pd.to_datetime(data['Date'])
data = data.set_index('Date')
train_data = data[:'2022']
test_data = data['2023':]
model = AutoReg(train_data, lags=5)
model_fit = model.fit()
predictions = model_fit.predict(start=len(train_data), end=len(data)-1, dynamic=False)
from sklearn.metrics import mean_absolute_error
error = mean_absolute_error(test_data, predictions)
print('Mean Absolute Error:', error)

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