Eugenia Inzaugarat's Projects
Stream Tweets and store them in a relational DB. Perform sentiment analysis and network interaction.
This project aims to build a classification model to predict which customers will churn
Performs an exploratory analysis on a dataset containing information about shop customers. Check that the assumptions K-means makes are fulfilled. Apply K-means clustering algorithm in order to segment customers.
Show how DCGAN works. Contains some code about the generator, discriminator and training step.
Retrieves information from a particular website. Uses different tools and pre-trained models for Named Entity Recognition.
Introduction to Git and GitHub
Analyze a dataset with information about movies. Creates a linear and a bayesian model to predict movie popularity.
Implement a content-based and collaborative filtering recommendation systems for song recommendations.
Explains and represents with a basic code how Neural Network works.
final-project-emb-ai
Analyze a dataset with information about liver disease patients. Creates a model to predict their survival.