(Python Example for Beginners)
Write a Pandas program to create a dataframe and set a title or name of the index column.
Test Data:
0 s001 V Alberto Franco 15/05/2002 35 street1 t1 1 s002 V Gino Mcneill 17/05/2002 32 street2 t2 2 s003 VI Ryan Parkes 16/02/1999 33 street3 t3 3 s001 VI Eesha Hinton 25/09/1998 30 street1 t4 4 s002 V Gino Mcneill 11/05/2002 31 street2 t5 5 s004 VI David Parkes 15/09/1997 32 street4 t6
Sample Solution:
Python Code :
Sample Output:
Original DataFrame: school_code class name date_Of_Birth weight address t1 s001 V Alberto Franco 15/05/2002 35 street1 t2 s002 V Gino Mcneill 17/05/2002 32 street2 t3 s003 VI Ryan Parkes 16/02/1999 33 street3 t4 s001 VI Eesha Hinton 25/09/1998 30 street1 t5 s002 V Gino Mcneill 11/05/2002 31 street2 t6 s004 VI David Parkes 15/09/1997 32 street4 Said DataFrame with a title or name of the index column: school_code class ... weight address Index_name ... t1 s001 V ... 35 street1 t2 s002 V ... 32 street2 t3 s003 VI ... 33 street3 t4 s001 VI ... 30 street1 t5 s002 V ... 31 street2 t6 s004 VI ... 32 street4 [6 rows x 6 columns]
Pandas Example – Write a Pandas program to create a dataframe and set a title or name of the index column
Two Machine Learning Fields
There are two sides to machine learning:
- Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
- Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.
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