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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.

rosalind_problems

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