Machine Learning Projects

Image Classification with CNN

intermediateComputer Vision~4h

Build a Convolutional Neural Network to classify images from the CIFAR-10 dataset.

PythonPyTorchNumPyMatplotlib

Learning Objectives

  • Understand CNN architectures
  • Learn about image preprocessing
  • Implement data loading and batching
  • Practice model training and evaluation
  • Visualize and interpret results

Step-by-Step Instructions

  1. Set up your development environment with PyTorch
  2. Download and preprocess the CIFAR-10 dataset
  3. Implement the CNN architecture
  4. Create the training loop
  5. Add evaluation metrics
  6. Experiment with different architectures
  7. Visualize results

Text Classification with BERT

advancedNatural Language Processing~6h

Build a sentiment analysis model using BERT for text classification.

PythonPyTorchTransformersBERT

Learning Objectives

  • Understand BERT architecture
  • Learn about text preprocessing
  • Implement fine-tuning
  • Practice with the Transformers library
  • Evaluate model performance

Step-by-Step Instructions

  1. Set up the development environment
  2. Load and preprocess the dataset
  3. Implement the BERT model
  4. Create training and evaluation loops
  5. Add inference functionality
  6. Experiment with different BERT variants
  7. Analyze model performance