Employee Performance, Knime, Stories, Machine Learning, Data Science.
Before modelling, we partition the data into 80:20 for learning and testing, respectively. To prepare the data into a suitable dataset for the model, a few tweaks are needed, such as normalizing and certain types of data manipulation. But don’t be overwhelmed, the workflow can be downloaded for