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 ofdftoX. - Build and train the model using the
LinearRegressionclass. - Predict the target for
X_new.
Lösning
Tack för dina kommentarer!
single
Fråga AI
Fråga AI
Fråga vad du vill eller prova någon av de föreslagna frågorna för att starta vårt samtal
Sammanfatta detta kapitel
Explain code
Explain why doesn't solve task
Awesome!
Completion rate improved to 5.56
Challenge
Svep för att visa menyn
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 ofdftoX. - Build and train the model using the
LinearRegressionclass. - Predict the target for
X_new.
Lösning
Tack för dina kommentarer!
single