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1. k-nearest-neighbor k-nearest-neighbor Public

   k-nearest-neighbor implements the KNN algorithm for classification or regression, covering preprocessing, neighbor selection, prediction, and evaluation. A simple, interpretable, distance-based mod…

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2. ANN-Classification ANN-Classification Public

   ANN-Classification is a project demonstrating how Artificial Neural Networks can be used to classify data through learned patterns and nonlinear decision boundaries. It includes dataset preprocessi…

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3. ANN-Regression ANN-Regression Public

   ANN-Classification applies Artificial Neural Networks for data classification, covering preprocessing, dense-layer model design, training, and evaluation. Ideal for learning basic neural network cl…

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4. RNN-Classification RNN-Classification Public

   RNN-Classification demonstrates sequence-based classification using RNNs. It covers preprocessing (tokenization, padding), building recurrent models (SimpleRNN/GRU/LSTM), training/validation, and e…

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5. LSTM_Next_word LSTM_Next_word Public

   LSTM_Next_word uses LSTM networks for next-word prediction, including tokenization, sequence creation, embeddings, model training, and evaluation—useful for language modeling experiments and RNN co…

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6. GRU_LSTM_Next_word GRU_LSTM_Next_word Public

   GRU_LSTM_Next_word implements GRU and LSTM models for next-word prediction. It includes tokenization, sequence creation, embedding layers, recurrent architectures, training/validation, and evaluati…

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