Hands-On Transfer Learning with Python

Data preparation

It is worth reiterating that this is where the maximum time is spent in the whole pipeline. This is a fairly detailed step that involves fundamental and important sub-steps, which include:

• Exploratory data analysis
• Data processing and wrangling
• Feature engineering and extraction
• Feature scaling and selection