D

data-science

About Behavioral finance meets machine learning. Early-warning system to forecast S&P 500 downturns using sentiment, volatility, and unemployment data — with SHAP explainability ,Gradio and Hugging Face deployment.

https://huggingface.co/spaces/Artur-Melnyk/Market-Mood-Forecasting

Analisi della transizione energetica nell'UE27 (2000–2030) con Python, Power BI e Machine Learning. Tre indici sintetici originali (ITE, ICP, RGI) calcolati su dati Our World in Data e proiettati al 2030 tramite regressione lineare.

Progetto IFTS Data Analysis & AI - SIAM1838

Supervised learning pipeline for rare event operational failure prediction, integrating leakage resistant preprocessing, class weighted modeling, precision recall threshold calibration, ROC AUC benchmarking, and permutation based feature importance to analyze production stress drivers.

API FastAPI permettant d’identifier des espèces de pingouins à partir de données tabulaires optionnelles et/ou d’une image.

L’API renvoie une liste d’espèces probables avec leurs probabilités et inclut :

Classification Machine Learning (RF, KNN, LR) Fusion multimodale (tabulaire + image) Journalisation des requêtes/réponses (SQLite) Interface web pour consulter les logs Interface web pour tester les prédictions Notebooks pour exploration et entraînement

Projet réalisé dans le cadre de la formation Développeur en Intelligence Artificielle (Simplon).

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.

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

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

Tool-driven analytics agent using LLM orchestration, schema-based tools, and a semantic data dictionary.

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

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

[Uc3m] An introduction to python

[Uc3m] The Classic Donkey Kong game

[Uc3m] The not-so-amazing power of management

[Uc3m] The Classic ghost-eating game

A set of numerical methods I reviewed at UC3M in python at the data science degree

A VERY early alpha, don't use. Or use, but refactor first and send a PR.

A replacement for patsy better suitable for fully automated use

Home credicard competition in kaggle.