Linear Regression on Pandas DataFrame using Sklearn ( IndexError: tuple index out of range)

Question

I\'m new to Python and trying to perform linear regression using sklearn on a pandas dataframe. This is what I did:

data = pd.read_csv(\'xxxx.csv\')
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Answer 1

Dataset

Importing the libraries

import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.linear_model import LinearRegression

Importing the dataset

dataset = pd.read_csv('1.csv')
X = dataset[["mark1"]]
y = dataset[["mark2"]]

Fitting Simple Linear Regression to the set

regressor = LinearRegression()
regressor.fit(X, y)

Predicting the set results

y_pred = regressor.predict(X)

Visualising the set results

plt.scatter(X, y, color = 'red')
plt.plot(X, regressor.predict(X), color = 'blue')
plt.title('mark1 vs mark2')
plt.xlabel('mark1')
plt.ylabel('mark2')
plt.show()