(Python Example for Beginners)
Write a Pandas program to append a list of dictioneries or series to a existing DataFrame and display the combined data.
Test Data:
student_id name marks 0 S1 Danniella Fenton 200 1 S2 Ryder Storey 210 2 S3 Bryce Jensen 190 3 S4 Ed Bernal 222 4 S5 Kwame Morin 199
Dictionary: student_id S6 name Scarlette Fisher marks 205 dtype: object
Sample Solution:
Python Code :
Sample Output:
Original DataFrames: student_id name marks 0 S1 Danniella Fenton 200 1 S2 Ryder Storey 210 2 S3 Bryce Jensen 190 3 S4 Ed Bernal 222 4 S5 Kwame Morin 199 Dictionary: student_id S6 name Scarlette Fisher marks 205 dtype: object Combined Data: student_id name marks 0 S1 Danniella Fenton 200 1 S2 Ryder Storey 210 2 S3 Bryce Jensen 190 3 S4 Ed Bernal 222 4 S5 Kwame Morin 199 5 S6 Scarlette Fisher 203 6 S7 Bryce Jensen 207
Pandas Example – Write a Pandas program to append a list of dictioneries or series to a existing DataFrame and display the combined data
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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