Notebook

scikit-learn-pythonmldata-sciencesolutionmachinelearningmicrosoft-for-beginnersmachine-learningmachinelearning-pythoneducationmicrosoft-ML-For-Beginnersscikit-learnPython2-Data2-Regressionmachine-learning-algorithmsr

Linear Regression for Pumpkins - Lesson 2

[2]
[3]
City Name            0
,Type               406
,Package              0
,Variety              0
,Sub Variety        167
,Grade              415
,Date                 0
,Low Price            0
,High Price           0
,Mostly Low          24
,Mostly High         24
,Origin               0
,Origin District    396
,Item Size          114
,Color              145
,Environment        415
,Unit of Sale       404
,Quality            415
,Condition          415
,Appearance         415
,Storage            415
,Crop               415
,Repack               0
,Trans Mode         415
,Unnamed: 24        415
,Unnamed: 25        391
,dtype: int64
[4]
      Month               Package  Low Price  High Price  Price
70        9  1 1/9 bushel cartons      15.00        15.0  13.50
71        9  1 1/9 bushel cartons      18.00        18.0  16.20
72       10  1 1/9 bushel cartons      18.00        18.0  16.20
73       10  1 1/9 bushel cartons      17.00        17.0  15.30
74       10  1 1/9 bushel cartons      15.00        15.0  13.50
...     ...                   ...        ...         ...    ...
1738      9    1/2 bushel cartons      15.00        15.0  30.00
1739      9    1/2 bushel cartons      13.75        15.0  28.75
1740      9    1/2 bushel cartons      10.75        15.0  25.75
1741      9    1/2 bushel cartons      12.00        12.0  24.00
1742      9    1/2 bushel cartons      12.00        12.0  24.00

[415 rows x 5 columns]
[5]
Output
[6]
Text(0, 0.5, 'Pumpkin Price')
Output
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