Darío López Padial's Projects
Automated feature engineering in Python with Featuretools
Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
Challenge for backend developers
Model Serving Made Easy
Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
It is some assignments of a free course about Deep Learning by Google on Udacity
Django template tag for rendering Page objects as Bootstrap pagination HTML
XML support for Django REST Framework
Markowitz portfolio optimisation (efficient frontier) in Python
My approaches to Financial Forecasting Challenge by G-Research
Web Server and API Web for lost/found/adoption/reception animals
Building an assistant for Boletin Oficial del Estado (BOE) using Retrieval Augmented Generation (RAG)
Python binding for Khiva library.
Kryptos AI is a virtual investment assistant that manages your cryptocurrency portfolio
My personal notes about Tensorflow Speech Recognition Challenge
A demo of Prometheus+Grafana for monitoring an ML model served with FastAPI.
Some Machine Learning utils snippets
Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning
Some personal scripts and results for mnist dataset
Introducción al modelado, inferencia y análisis de modelos Bayesianos
Numerai ML competition example code
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Predict whether or not a patient will show up to their next appointment using automated feature engineering
Predict whether a student will correctly answer a problem based on past performance using automated feature engineering
Predict the poverty of households in Costa Rica using automated feature engineering.
Predict whether a loan will be repaid using automated feature engineering.
Predict whether internet traffic is malicious given historical router traffic data
Predict what a customer will buy next based on purchase history using automated feature engineering