I need practical, one-on-one help building a complete machine-learning workflow in KNIME that takes raw text and ends with a reliable classification model. I already have sample text data ready and a basic familiarity with the interface. This is some of the scope of work Scope of Work -Review and understand dataset -Data cleaning, preparation, and feature engineering in KNIME -Build and configure the logistic regression workflow -Evaluate model performance and refine as needed -Translate model outputs into stocking recommendations -Walk through the entire workflow step‑by‑step -Provide a final KNIME workflow file and documentation If you’re experienced in KNIME’s text-processing extension and classification nodes and can explain concepts in simple terms while we build the workflow together.