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data-science

Turn any Python project folder into a reproducible job template that creates timestamped, isolated run directories with configurable environments and copy/link behavior.

The efficient alternative to Neural Networks. Implements SLRM (Segmented Linear Regression Model) for neural compression and non-linear data modeling, achieving high precision with a fraction of the parameters of a traditional ANN.

Fundamental theory and practice in Machine Learning (ML) and Data Science (DS). 🧮

[2011] Emergency flood forecasting system from Thailand's 2011 crisis. Provided 5-day ARIMA predictions with spatial interpolation across Bangkok, enabling 13 million residents to protect homes when official models failed, shared via public platforms.

[2019-2024] Climate prediction framework using statistical downscaling of GCM data. Combines ARIMA time series, machine learning regression, and stochastic weather generation for 5-day forecasts with spatial interpolation capabilities. The pilot area is the eastern seaboard of Thailand.

A set of data science and machine learning projects exploring various datasets — a place to test ideas, models, and analytical approaches.

Comparação entre Vision Transformers e Métodos Clássicos de Visão Computacional na Segmentação de Exsudatos Lipídicos em Imagens de Retinopatia Diabética. Trabalho de Conclusão de Curso para obtenção de título de bacharel em Engenharia Elétrica na Universidade Federal do Ceará.

Built a complete machine learning pipeline in SparkML using the Adult Census dataset (~48k rows, 14 features). Implemented data preprocessing, feature encoding, cross-validation, and model training with Logistic Regression and Random Forest. Evaluated models with metrics such as AUC and F1-score. Reflected on scalability trade-offs and optimizations in distributed ML.

Data Science / Machine Learning Pipeline component for training and deploying ML models using CI

This repo will have all resources, labs, data which I use/d on Kaggle Network

Este repositório foi criado como parte do programa de Trainee do TerraLab para área de Data Analytics. O objetivo é introduzir os conceitos fundamentais de Análise de Dados por meio de 5 sprints semanais, com foco em Python, Git e visualização de dados.

Project information This is the final source code for my model deployment—a Streamlit application for the Netflix Movie Recommendation System, or we can use the Flask framework. The complete model training, exploratory data analysis (EDA), and data preprocessing are available in my GitHub repository.

GitHub: github.com/aydiegithub/

Live Demo: aydie.in/ml/netflix-recommendation

Contact: business@aydie.in 9036469492 aydie.in

A data science project focused on analyzing a car market dataset from Turkey in 2020. The goal is to explore the data, apply various analytical techniques, and derive insights. The specific direction of analysis will be determined through exploration, with potential for building predictive models or visualizing trends in the market.

A dataframe library for Crystal.

Aplicativo que facilita a realização do teste de hipótese, através de testes T, com uma interface amigável e de fácil utilização.

This repo is a mix of several data science tools. There is a mix of web-scraping of data that is then cleaned, and used to analyze the property market in malta, using prediction models, visualisations and statistical analysis.

There is also visualisations for chess data from the 1980's till 2021. Moreover, there is twitter data, which is then stored in the neo4J nosql dbms.

No data is presented in the git, only the results. Code with the data can be found at: https://drive.google.com/file/d/15EQnRtsngDsFDD_A7g4N1fwCuXI0f_Xi/view?usp=sharing

Basic numpy usage

[Uc3m] A repo containing links to all my other college projects