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1. Optuna-based-Hyperparameter-Optimization-for-Machine-Learning-Models-Static-and-Dynamic-Tuning Optuna-based-Hyperparameter-Optimization-for-Machine-Learning-Models-Static-and-Dynamic-Tuning Public

   This Optuna-based hyperparameter optimization study performs both static and dynamic tuning of hyperparameters for machine learning models (SVM, RandomForest, and GradientBoosting) to maximize accu…

   Jupyter Notebook 1

2. Pytorch_Training_Pipeline_Using_Dataset_And_Dataloader_Class.ipynb Pytorch_Training_Pipeline_Using_Dataset_And_Dataloader_Class.ipynb Public

   Binary classification of breast cancer using PyTorch. Used StandardScaler, LabelEncoder, Dataset, DataLoader, custom nn.Module model, BCELoss, and SGD. Focused on implementing a complete training p…

   Jupyter Notebook 1

3. IMDB-Dataset-Classification-using-Pre-trained-Word-Embedding-with-GloVec-6B IMDB-Dataset-Classification-using-Pre-trained-Word-Embedding-with-GloVec-6B Public

   In this project, I worked with a small corpus consisting of simple sentences. I tokenized the words using n-grams from the NLTK library and performed word-level and character-level one-hot encoding…

   Jupyter Notebook 2

4. FashionMNIST-Classification-Using-Transfer-Learning-with-Pretrained-AlexNet FashionMNIST-Classification-Using-Transfer-Learning-with-Pretrained-AlexNet Public

   This project applies transfer learning using a pretrained AlexNet model to classify FashionMNIST images. The model was fine-tuned and trained on GPU after necessary preprocessing. It achieved 93.16…

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5. CNN-Model-for-Fashion-MNIST-Classification CNN-Model-for-Fashion-MNIST-Classification Public

   This project demonstrates the implementation of a Convolutional Neural Network (CNN) using PyTorch, designed to classify fashion items from the Fashion MNIST dataset. The model was trained using GP…

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6. GPU-Accelerated-Next-Word-Prediction-Using-LSTM-and-PyTorch GPU-Accelerated-Next-Word-Prediction-Using-LSTM-and-PyTorch Public

   This repository implements a GPU-accelerated next-word prediction model using PyTorch and LSTM. It includes data preprocessing with NLTK, vocabulary creation, training on tokenized text, and genera…

   Jupyter Notebook 1