Pablo Sotomayor's repositories
Awesome-Decision-Science
An evergrowing, professionally curated list of resources on everything decision-making: videos, tutorials, books, papers, theses, articles, datasets, and open-source libraries.
awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
ordpy
A Python package for data analysis with permutation entropy and ordinal network methods.
statsforecast
Lightning ⚡️ fast forecasting with statistical and econometric models.
awesome-conformal-prediction
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
mlforecast
Scalable machine 🤖 learning for time series forecasting.
kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
NLP-in-the-real-world
Source Code for CRC Press book 'Natural Language Processing in the Real World' by Jyotika Singh
DBCV
Python implementation of Density-Based Clustering Validation
Challenges
Mono-repo containing several challenges in a variety of Data Science and Machine Learning topics.
pulp
A python Linear Programming API
naima
Derivation of non-thermal particle distributions through MCMC spectral fitting
Introduction-to-theoretical-astrophysics
A course for undergraduate astronomy students
cursos-python
Cursos completos de IA dictados por Humai
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
Statistical-Data-Analysis
Notebooks of solved exercises of a postgraduate course of Statistical Data Analysis.
Data-Science-Exercises
Solved exercises of data science. Feedback is appreciated.
workstation
Template de Cookiecutter preparado para proyectos de data science + deployr workstation // Creado en conjunto con Instituto Humai (ver sitio)
ml-basics
Exercise notebooks for Machine Learning modules on Microsoft Learn
Programacion_en_Python_UNSAM
Curso de programación en Python - UNSAM
psotomayor
Config files for my GitHub profile.
machinelearning-az
Repositorio del Curso de Machine Learning de la A a la Z con R y Python
funpymodeling
A package to help data scientist in Exploratory Data Analysis and Data Preparation for ML models
stochastic-optimization
Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.