But if your data contains non-numeric data (also called categorical data) ... To create the demo program, I used Notepad. The demo code was written using the Anaconda 4.1.1 distribution (Python 3.5.2 ...

Conclusion. Encoding categorical data is a crucial step in data preprocessing. By converting categorical data into a numeric format, machine learning models can interpret and work more effectively.

George Washington University is launching a groundbreaking example of inter-institutional collaboration in open education through a Massive Open Online Course (MOOC) entitled “Practical Numerical ...

ActiveState this week added open source packages for financial and scientific computing to its ActivePython distribution of the Python programming language. The move is being made as a result of ...