figure - revisiting our standard machine learning pipeline the figure clearly depicts the main components in the pipelinewhich you should already be well-versed on by now these components are mentioned once more for ease of understanding data retrieval data preparation modeling model evaluation and tuning model deployment and monitoring our area of focus in this falls under the blocks under "data preparationwe already covered processing and wrangling data in in detail herewe will be focusing on the three major steps essential toward handling data features these are mentioned as follows feature extraction and engineering feature scaling feature selection these blocks are highlighted in figure - and are essential toward the process of transforming processed data into features by processedwe mean the raw dataafter going through necessary preprocessing and wrangling operations the sequence of steps that are usually followed in the pipeline for transforming processed data into features is depicted in more detailed view in figure - figure - standard pipeline for feature engineeringscalingand selection