Predict star temperature:
a) Using the data/stars.csv file, perform some initial EDA and then build
a linear regression model of all the numeric columns to predict the temperature
of the star.
b) Train the model on 75% of the initial data.
c) Calculate the R2
and RMSE of the model.
d) Find the coefficients for each regressor and the intercept of the linear regression
equation.
e) Visualize the residuals using the plot_residuals() function from the
ml_utils.regression module.
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