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splitting image dataset into train, val, test sets
Classification of wine quality using a hard_parzen and a soft_parzen with gaussian kernel models - Machine Learning course (IFT3395)
Goal is to identify an appropriate pipeline to obtain good performance on the dataset, using LSTM neural network approaches.
This is a Logistic Regression Model that predicts the Breast Cancer is Benign or Malignant . With various independent attributes such as Clump thickness, Uniformity of cell size , Mitoses, Uniformity of Cell Shape , Bare Nuclei and various other attributes.