Pinned Repositories
analysing_twitter
Stream Tweets and store them in a relational DB. Perform sentiment analysis and network interaction.
churn_model
This project aims to build a classification model to predict which customers will churn
clustering_analysis
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.
creatingDCGAN
Show how DCGAN works. Contains some code about the generator, discriminator and training step.
essential_tools_ner
Retrieves information from a particular website. Uses different tools and pre-trained models for Named Entity Recognition.
movie_predictions
Analyze a dataset with information about movies. Creates a linear and a bayesian model to predict movie popularity.
music_recommender
Implement a content-based and collaborative filtering recommendation systems for song recommendations.
neuralnetwork
Explains and represents with a basic code how Neural Network works.
predicting_survival_hepatitis
Analyze a dataset with information about liver disease patients. Creates a model to predict their survival.
ugis22's Repositories
ugis22/music_recommender
Implement a content-based and collaborative filtering recommendation systems for song recommendations.
ugis22/analysing_twitter
Stream Tweets and store them in a relational DB. Perform sentiment analysis and network interaction.
ugis22/clustering_analysis
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.
ugis22/churn_model
This project aims to build a classification model to predict which customers will churn
ugis22/movie_predictions
Analyze a dataset with information about movies. Creates a linear and a bayesian model to predict movie popularity.
ugis22/essential_tools_ner
Retrieves information from a particular website. Uses different tools and pre-trained models for Named Entity Recognition.
ugis22/predicting_survival_hepatitis
Analyze a dataset with information about liver disease patients. Creates a model to predict their survival.
ugis22/neuralnetwork
Explains and represents with a basic code how Neural Network works.
ugis22/creatingDCGAN
Show how DCGAN works. Contains some code about the generator, discriminator and training step.
ugis22/Rosalind_Problems
ugis22/ugis22