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Sebastião Rosalino's Projects

airbnb_document_database_restructuring icon airbnb_document_database_restructuring

Optimizing and restructuring the Airbnb document database to enhance performance and meet the latest business requirements, ensuring faster and more efficient client usage

clustering_on_starbucks_beverages icon clustering_on_starbucks_beverages

Grouping of drinks according to their nutritional values, making it easier to categorize them in a future catalog, increasing organization and facilitating the search depending on individual preferences

connection_analysis_on_social_networks icon connection_analysis_on_social_networks

Implementing a Graph ADT to analyze social network data from GitHub and Facebook, focusing on metrics like influence, centrality, and proximity using algorithms such as Dijkstra's

data_wrangling_investigations icon data_wrangling_investigations

Series of 3 investigation works, regarding the subject of Data Wrangling (Acquire data from different sources; Understand how to clean and pre-process data; Transform data for analytics purposes; Perform feature engineering; Visualize data)

ebike_iul icon ebike_iul

eBike-IUL - Electronic Bike Management Platform

intelligent_systems_investigations icon intelligent_systems_investigations

Series of 11 works, covering: State-Space Representations, Search, Adversarial Search, Logic, Automated Reasoning, Reasoning with Uncertainty and Vagueness and Machine Learning

linear_regression_study icon linear_regression_study

Deep Study of the Linear Regression Machine Learning Model, including its Regularization Techniques

michelin_star_restaurants_recommendation_system icon michelin_star_restaurants_recommendation_system

Our unique ontology enables users to browse Michelin Star restaurants in France based on cuisine type, budget, location, and amenities such as air-conditioning and terraces, making it easy to find suitable options in specific cities like Paris

news_website icon news_website

Code for a news website developed in Django, allowing users to view and comment on news articles

prediction_of_seoul_bikes_demand icon prediction_of_seoul_bikes_demand

The objective of this project is to predict the number of bicycles needed to be made available each hour in order to make the service as efficient as possible

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