python
import numpy as np
a = np.array([[1, 2, 3], [4, 5, 6]])
print(a)
print(np.sum(a))
print(np.mean(a))
python
import pandas as pd
data = pd.read_csv("data.csv")
df = pd.DataFrame(data)
print(average_temperature)
python
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression
from sklearn.metrics import accuracy_score
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)
model = LinearRegression()
model.fit(X_train, y_train)
y_pred = model.predict(X_test)
accuracy = accuracy_score(y_test, y_pred)
print(accuracy)
