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GitHub Repo https://github.com/Blaieet/Introduction-to-Scientific-Computing

Blaieet/Introduction-to-Scientific-Computing

Second-degree Computer Engineering subject at Universitat de Barcelona
GitHub Repo https://github.com/54612-cmd/sov72-web

54612-cmd/sov72-web

Capa de Sincro-Ocupación Vectorial (Protocolo 3078). Arquitectura de Ciberseguridad Orgánica basada en la Identidad Temporal Inalienable. Registro #2604025152171. Barcelona Deep Tech District
GitHub Repo https://github.com/AshwinAmbal/Efficient-Grouping-of-Similar-Users-Images-and-Locations-using-Vector-Models

AshwinAmbal/Efficient-Grouping-of-Similar-Users-Images-and-Locations-using-Vector-Models

Experimenting with Indexing, Classification, Clustering, Graph Analysis, Dimensionality Reduction, Similarity Measures and using them to find similarity between images, users and locations by using extracted textual and visual descriptor features of images in the dataset provided by “B. Ionescu, A. Popescu,M. Lupu, A.L. Ginsca, H. Muller, Retrieving Diverse Social Images at MediaEval 2014: Challenge, Dataset and Evaluation, MediaEval Benchmarking Initiative for Multimedia Evaluation, vol. 1263, CEUR-WS.org, ISSN: 1613-0073, October 16-17, Barcelona, Spain, 2014.”
GitHub Repo https://github.com/ab4821/Air-Pollution-and-Mental-Health-

ab4821/Air-Pollution-and-Mental-Health-

Code to predict whether an individual living in Barcelona suffers from high or low stress levels using Support Vector Machines.
GitHub Repo https://github.com/ajayguna-96/Finding-Similarity-between-Vector-Models-of-images-using-Similarity-Scores

ajayguna-96/Finding-Similarity-between-Vector-Models-of-images-using-Similarity-Scores

Using cosine similarity to find similarity between images, users and locations by using extracted textual and visual descriptor features of images in the dataset provided by “B. Ionescu, A. Popescu,M. Lupu, A.L. Ginsca, H. Muller, Retrieving Diverse Social Images at MediaEval 2014: Challenge, Dataset and Evaluation, MediaEval Benchmarking Initiative for Multimedia Evaluation, vol. 1263, CEUR-WS.org, ISSN: 1613-0073, October 16-17, Barcelona, Spain, 2014.”
GitHub Repo https://github.com/sv-bazh/SaturdaysAI-Barcelona-Beer-Challenge-Kaggle

sv-bazh/SaturdaysAI-Barcelona-Beer-Challenge-Kaggle

During the Saturdays AI Machine Learning course we had a Kaggle competition. I wrote this notebook as part of it. I've applied the Support Vector Machine to predict the results. Accuracy came out as 0.56302