Challenge
For this challenge, the same housing dataset will be used.
However, now it has two features: age and area of the house (columns age
and square_feet
).
1234import pandas as pd df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/b22d1166-efda-45e8-979e-6c3ecfc566fc/houseprices.csv') print(df.head())
Your task is to build a Multiple Linear Regression model using the OLS
class. Also, you will print the summary table to look at the p-values of each feature.
Swipe to start coding
- Assign the
'age'
and'square_feet'
columns ofdf
toX
. - Build and train the model using the
LinearRegression
class. - Predict the target for
X_new
.
Solution
Thanks for your feedback!
single
Ask AI
Ask AI
Ask anything or try one of the suggested questions to begin our chat
Awesome!
Completion rate improved to 5.56
Challenge
Swipe to show menu
For this challenge, the same housing dataset will be used.
However, now it has two features: age and area of the house (columns age
and square_feet
).
1234import pandas as pd df = pd.read_csv('https://codefinity-content-media.s3.eu-west-1.amazonaws.com/b22d1166-efda-45e8-979e-6c3ecfc566fc/houseprices.csv') print(df.head())
Your task is to build a Multiple Linear Regression model using the OLS
class. Also, you will print the summary table to look at the p-values of each feature.
Swipe to start coding
- Assign the
'age'
and'square_feet'
columns ofdf
toX
. - Build and train the model using the
LinearRegression
class. - Predict the target for
X_new
.
Solution
Thanks for your feedback!
Awesome!
Completion rate improved to 5.56single