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Hi there ๐Ÿ‘‹Task: White Blood Cell Classification

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.

mandarukrulkar's Projects

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๐Ÿ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

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This repository is a collection of six minor projects focused on Natural Language Processing (NLP) along with relevant datasets. The projects are designed to help individuals gain a better understanding of NLP by applying concepts to real-world problems. Additionally, the repository includes a file that provides a comprehensive overview of NLP .

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PyTorch implementations of Generative Adversarial Networks.

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