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.

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 ...

Key Takeaways Mastering Python, math, and data handling is the foundation of a successful ML career.Real-world projects and ...