(Python Example for Beginners)
Write a Pandas program to convert the datatype of a given column(float to int).
Sample Solution :
Python Code :
Sample Output:
Original DataFrame: attempts name qualify score 0 1 Anastasia yes 12.50 1 3 Dima no 9.10 2 2 Katherine yes 16.50 3 3 James no 12.77 4 2 Emily no 9.21 5 3 Michael yes 20.22 6 1 Matthew yes 14.50 7 1 Laura no 11.34 8 2 Kevin no 8.80 9 1 Jonas yes 19.13 Data types of the columns of the said DataFrame: attempts int64 name object qualify object score float64 dtype: object Now change the Data type of 'score' column from float to int: attempts name qualify score 0 1 Anastasia yes 12 1 3 Dima no 9 2 2 Katherine yes 16 3 3 James no 12 4 2 Emily no 9 5 3 Michael yes 20 6 1 Matthew yes 14 7 1 Laura no 11 8 2 Kevin no 8 9 1 Jonas yes 19 Data types of the columns of the DataFrame now: attempts int64 name object qualify object score int64 dtype: object
Pandas Example – Write a Pandas program to widen output display to see more columns
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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