Reshape your data either using array.reshape(-1, 1) if your data has a single feature or array.resh

ape(-1, n) if it has multiple features, where n is the number of features. This error message usually occurs when you are trying to fit a machine learning model with data that is not in the right shape. The reshape() function can be used to transform your data into the appropriate format. If your data has only one feature, you can use array.reshape(-1, 1). For example:

import numpy as np
from sklearn.linear_model import LinearRegression

# create some sample data
X = np.array([1, 2, 3, 4, 5])
y = np.array([2, 4, 6, 8, 10])

# reshape the data
X = X.reshape(-1, 1)
y = y.reshape(-1, 1)

# fit the model
model = LinearRegression()
model.fit(X, y)

If your data has multiple features, you can use array.reshape(-1, n), where n is the number of features. For example:

import numpy as np
from sklearn.linear_model import LinearRegression

# create some sample data
X = np.array([[1, 2], [3, 4], [5, 6], [7, 8]])
y = np.array([2, 4, 6, 8])

# reshape the data
X = X.reshape(-1, 2)
y = y.reshape(-1, 1)

# fit the model
model = LinearRegression()
model.fit(X, y)