I am trying to run the following in Python using Spyder:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
path = 'https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DA0101EN-SkillsNetwork/labs/Data%20files/automobileEDA.csv'
df = pd.read_csv(path)
df.head()
from sklearn.linear_model import LinearRegression #import linear_model from scikit-learn
lm=LinearRegression() #create a linear reg object using this cosntructor
But I get this Error message:
from sklearn.linear_model import LinearRegression #import linear_model from scikit-learn lm=LinearRegression() #create a linear reg object using this cosntructor lm Traceback (most recent call last):
File "", line 1, in from sklearn.linear_model import LinearRegression #import linear_model from scikit-learn
File "C:\Users\username.spyder-py3\site-packages\sklearn_init_.py", line 82, in from .base import clone
File "C:\Users\username.spyder-py3\site-packages\sklearn\base.py", line 17, in from .utils import _IS_32BIT
File "C:\Users\username.spyder-py3\site-packages\sklearn\utils_init_.py", line 24, in from . import _joblib
File "C:\Users\username.spyder-py3\site-packages\sklearn\utils_joblib.py", line 9, in from joblib import dump, load
ImportError: cannot import name 'dump' from 'joblib' (C:\Users\username.spyder-py3\joblib_init_.py)