Mastering Python for Data Science

感谢楼主分享！

非常感谢！

XIE XIE, PYTHOND IS GOOD FOR DATA>

1. >>># Create linear regression object
   
2. >>> lm = linear_model.LinearRegression()
   
3. >>># Train the model using the training sets
   
4. >>> lm.fit(sl_data.Height[:,np.newaxis], sl_data.Weight)
   
5. >>> print 'Intercept is ' + str(lm.intercept_) + '\n'
   
6. Intercept is -99.2772096063
   
7. >>> print 'Coefficient value of the height is ' + str(lm.coef_) + '\n'
   
8. Coefficient value of the height is [ 1.00092142]
   
9. >>> print pd.DataFrame(zip(sl_data.columns,lm.coef_),
   
10. columns = ['features', 'estimatedCoefficients'])

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好书！

谢谢分享啊！