The objective of this task is to train a machine learning model to classify different types of white blood cells (WBCs). The specific types of WBCs to be classified are as follows: bands, basophils, blasts, eosinophils, lymphocytes, metamyelocytes, monocytes, myelocytes, and neutrophils. Data is given in the attachment. Once the model is trained, write a program to utilize the trained model for classifying images stored in the "classify-images" folder into the aforementioned classes.
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