Parameters vs hyperparameters

Fit a logistic regression and a linear regression; print learned coefficients; change C / alpha and refit. Concepts: Learned parameters (weights, bias) vs hyperparameters (settings you choose) Project A: Print the 10 largest |coef_| of logistic regression; change C from 1 to 0.01 and watch coefficients shrink. Project B: Print linear regression coefficients for temperature, hour_sin, lag_168.