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1. label-noise-logreg-perceptron label-noise-logreg-perceptron Public

   Analysing how increasing label noise affects two classic machine learning models: Logistic Regression and Perceptron.

   Jupyter Notebook

2. fcnn-mnist-analysis fcnn-mnist-analysis Public

   does a bigger neural network always mean better performance? experimenting on MNIST

   Jupyter Notebook

3. dropout-rate-analysis dropout-rate-analysis Public

   Checking how varying "dropout rates" impact the performance of fully connected neural networks across three benchmark datasets: MNIST, Fashion MNIST, and CIFAR-10

   Jupyter Notebook

4. cnn-input-kernel-analysis cnn-input-kernel-analysis Public

   exploring how "input image size" and "convolutional kernel size" affect the performance of convolutional neural networks (CNNs) on the MNIST dataset.

   Jupyter Notebook

5. sarcasm-detection-distilbert-vs-naive-bayes sarcasm-detection-distilbert-vs-naive-bayes Public

   comparing a traditional Naive Bayes baseline with a fine-tuned DistilBERT classifier for sarcasm detection on news headlines

   Jupyter Notebook 1