I am trying to create one Machine Learning model using LinearRegression model, but I am getting the below error.
import pandas as pd
data = pd.read_csv('db.csv')
x = data['TV']
y = data['Sales']
from sklearn.linear_model import LinearRegression
model = LinearRegression()
model.fit(x,y)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/user/Python.framework/Versions/3.6/lib/python3.6/site-packages/sklearn/linear_model/base.py", line 512, in fit
y_numeric=True, multi_output=True)
File "/user/Python.framework/Versions/3.6/lib/python3.6/site-packages/sklearn/utils/validation.py", line 531, in check_X_y
check_consistent_length(X, y)
File "/user/Python.framework/Versions/3.6/lib/python3.6/site-packages/sklearn/utils/validation.py", line 181, in check_consistent_length
" samples: %r" % [int(l) for l in lengths])
ValueError: Found input variables with inconsistent numbers of samples: [1, 1000]
If you want to unleash your potential in this competitive field, please visit the Machine Learning course page for more information, where you can find the Machine Learning tutorials and Machine Learning frequently asked interview questions and answers as well.