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