Kaggle competition: Predicting Molecular Properties
BBOX_TRAIN = '.. /input/bboxsplit/bounding_boxes_train.csv'
BBOX_TEST = '.. /input/bboxsplit/bounding_boxes_test.csv'
train_df = pd.read_csv(".. /input/humpback-whale-identification/train.csv")
 train_df.head()<drop_column>
sub1 = pd.read_csv('.. /input/blend/submission1236.csv')
 sub2 = pd.read_csv('.. /input/statstack/stack_median.csv')
 submission = pd.read_csv('.. /input/champs-scalar-coupling/sample_submission.csv' )
<groupby><EOS> 
submission['scalar_coupling_constant'] =(0.4*sub1['scalar_coupling_constant'] + 0.6*sub2['scalar_coupling_constant'])
 submission.to_csv('blend_of_blends.csv', index=False )