You can leverage various libraries to prepare a dataset for machine learning in Python, such as NumPy, pandas, and sci-kit learn. The process is as follows:
Collect the data set
Handle any missing data
Encode categorical data
Categorize the data into training and testing sets
Perform feature engineering and selection