(Python Example for Beginners)
Write a Pandas program to convert continuous values of a column in a given DataFrame to categorical.
Input:
{ ‘Name’: [‘Alberto Franco’,’Gino Mcneill’,’Ryan Parkes’, ‘Eesha Hinton’, ‘Syed Wharton’], ‘Age’: [18, 22, 40, 50, 80, 5] }
Output:
Age group:
0 kids
1 adult
2 elderly
3 adult
4 elderly
5 kids
Name: age_groups, dtype: category
Categories (3, object): [kids < adult < elderly]
Sample Solution :
Python Code :
Sample Output:
Original DataFrame: name age 0 Alberto Franco 18 1 Gino Mcneill 22 2 Ryan Parkes 85 3 Eesha Hinton 50 4 Syed Wharton 80 5 Kierra Gentry 5 Age group: 0 kids 1 adult 2 elderly 3 adult 4 elderly 5 kids Name: age_groups, dtype: category Categories (3, object): [kids < adult < elderly]
Pandas Example – Write a Pandas program to convert continuous values of a column in a given DataFrame to categorical
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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