Linear regression
In this exercise, you'll implement a simple linear regression model. Get ready to make predictions, visualize the model fit, and analyze the formula used to generate your fit.
By now, you're probably comfortable with the weather dataset that we'll be using. Your dependent variable will be the Humidity3pm feature. All of the standard packages have been imported for you.
Bu egzersiz
Practicing Statistics Interview Questions in Python
kursunun bir parçasıdırUygulamalı interaktif egzersiz
Bu örnek kodu tamamlayarak bu egzersizi bitirin.
from sklearn.linear_model import LinearRegression
X = np.array(weather['Humidity9am']).reshape(-1,1)
y = weather['Humidity3pm']
# Create and fit your linear regression model
lm = ____
lm.fit(____, ____)