Machine Learning Projects

This repository contains various machine learning projects ranging from introductory concepts to advanced deep learning implementations.

Directory Structure

• intro/ - Beginner machine learning concepts

  • Linear regression, logistic regression, SVM, PCA, and other classical ML algorithms
  • Various homework assignments with implementations and reports

• dl/ - Deep learning implementations

  • RNN and LSTM/GRU models
  • Sequence-to-sequence models with attention mechanisms
  • Transformer implementations
  • CNN architectures (VGG, ResNet, AlexNet)

• purepecha/ - Specialized sequence-to-sequence translation project

  • Working on preserving the Purepecha language, an obscure Mesoamerican dialect
  • Translation implementation using neural machine translation techniques