Sebastião Rosalino's repositories
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
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
Author_Album_Website_and_Web_Server
Developing an Author Album Website using HTML, CSS, and JavaScript, supported by a Web Server built on a RESTful HTTP API
Clustering_Antartic_Penguin_Species
Using penguin dataset collected from Palmer Station, Antarctica, this project applies data science techniques to identify and group penguins based on physical traits in the absence of species labels
Milk_Components_and_Quality_Inference
Automatic Milking Systems Problem: Utilizing Neuroevolutionary Algorithms to infer milk components
Predicting_AirBNB_Property_Unlisting
Natural Language Processing as a Tool for Predicting AirBNB Listing Availability
Predicting_Hospital_Readmissions
Ready to be discharged: Examining Hospital Readmissions
Regression_Study_on_Health_Insurance_Prices_in_USA
Unraveling the Determinants: A Comprehensive Analysis of Factors Influencing Health Insurance Charges in the USA
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
Computational_Statistics_Investigations
Series of 3 investigation works, regarding the subject of Computational Statistics
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_Exploration_on_Amazon_Database_for_Business_Intelligence
Data Extraction, Engineering and Exploration of an Amazon Database, in order to provide actionable Business Intelligence insights
Data_Structures_and_Algorithms_Investigations
Series of 6 works of investigation and applied projects, regarding the subject of Data Structures and Algorithms
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)
Deep_Learning_for_Skin_Disease_Identification
Enhancing Diagnostic Accuracy with AI: Advanced Image Analysis for Skin Disease Identification
Determining_Traffic_Accident_Severity_in_the_USA
Helping the authorities to better understand traffic problems and to establish public policies to minimize this issue, and for insurance companies to define their commercial policy
Heuristic_Optimization_Business_Problem
Using Genetic Algorithms to find optimal solutions for a company's business needs, considering operational restrictions and budget limitations
Heuristic_Optimization_Investigations
Series of 2 investigation works, regarding the subject of Heuristic Optimization
Knowledge_and_Data_Investigations
Series of 5 works, regarding the subject of Knowledge and Data (Web Semantics, RDF, RDFS, OWL, SPARQL, Knowledge Graphs)
Linear_Programming_Optimization_Problem
Utilizing Linear Programming through Excel Solver to optimize business strategy for maximum profit
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
Neo4j_Beer_and_Breweries_Network_Analysis
Graph databases are a natural way of navigating distinct types of data. For this first project we will be taking a graph database to analyse beer and breweries!
Predicting_Black_Friday_Consumption_Patterns
Predicting Black Friday consumption patterns based on customer personal information
Predicting_Churning_in_Telco_Company
Predicting Churning in a Telecommunications Company
Predicting_NYC_Taxi_Limousine_Profit
Predicting the profit of NYC Taxi Limousine services to provide actionable insights for maximizing revenue
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
Predictive_Modeling_for_Agriculture
Sowing Success: How Machine Learning Helps Farmers Select the Best Crops
Profile_of_Natural_Disasters_Across_Three_Decades_in_the_EU
Tableau Dashboard depicting the Profile of the Natural Disasters across Three Decades in the EU Countries
Six_Degrees_of_Separation_and_Engineering_the_Perfect_Cast
Leveraging PySpark to analyze the IMDB database, answer various queries, and develop machine learning models to predict a movie's popularity based on its cast