UDA model theory

GAN-VAE-Autoregressive model theory

Recurrent neural nets theory.

Convolutional neural nets theory

All the basics element of neural network theory.

BERT for Multi Label Classification on Toxic comments dataset.

Huggingface DistilBERT fine-tuned for sentiment analysis.

MLOPS, all the best practice for design, train and deploy a ML system.

Introduction to Natural Language Process with HuggingFace Transformers.

Stock prediction with Multivariate-LSTM

Convolutional Neural Network implementation with basic examples.

Introduction to Natural Language Process main concepts trough NLTK packages in python.

Basics deep learning concepts and implementaion of FeedForward Neural Networks.

Principal Component and Cluster Analysis developed in R studio.

Shrinkage methods and non-linear models and analysis developed in R studio.

Classification models and analysis developed in R studio.