(Python Example for Beginners)
Write a Pandas program to extract only non alphanumeric characters from the specified column of a given DataFrame.
Sample Solution:
Python Code :
Sample Output:
Original DataFrame: company_code year 0 c0001# year 1800 1 c00@0^2 year 1700 2 $c0003 year 2300 3 c0003 year 1900 4 &c0004 year 2200 Extracting only non alphanumeric characters from company_code: company_code year nonalpha 0 c0001# year 1800 [#] 1 c00@0^2 year 1700 [@, ^] 2 $c0003 year 2300 [$] 3 c0003 year 1900 [] 4 &c0004 year 2200 [&]
Pandas Example – Write a Pandas program to extract only non alphanumeric characters from the specified column of a given DataFrame
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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