David-Damian
Data scientist and applied mathematician committed to enhancing business problem-solving through the use of data.
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David-Damian's Stars
agarbuno/Awesome-Decision-Science
Une liste de ressources sur tout ce qui touche à la prise de décision : vidéos, tutoriels, livres, documents, thèses, articles, datasets et libs open source.
udacity/cd0385-project-starter
udacity/cd0385-exercise-files
GokuMohandas/Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
eugeneyan/applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
revodavid/devcontainers-rstudio
Zero-setup R workshops with GitHub Codespaces
aws/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
facebookresearch/Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
felipegonzalez/aprendizaje-maquina-mcd-2023
philipphennig/NumericsOfML
Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
alshedivat/al-folio
A beautiful, simple, clean, and responsive Jekyll theme for academics
JonathanWenger/itergp
IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
ITAM-DS/templates
Plantillas para tesis, casos y presentaciones
czammar/vector_fciencias
Files related to Vector program from http://www.fciencias.unam.mx for undergraduate and recently graduated students
felipegonzalez/aprendizaje-maquina-mcd-2021
Notas y material para el curso de aprendizaje máquina (MCD ITAM 2021)
jlrzarcor/proj-met-causalinfer
Repositorio para el proyecto final de la clase Métodos Analíticos del Prof. Felipe González; ITAM MCD2023
David-Damian/image-denoising-radiographics
Trough a deep learning approach and using advanced tools of AWS cloud, we develop project related with denoise radiographics.
CCS-Lab/hBayesDM
Hierarchical Bayesian modeling of RLDM tasks, using R & Python
nlp-with-transformers/notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
iamtodor/data-science-interview-questions-and-answers
Data science interview questions with answers. Not ideally (yet)
stan-dev/example-models
Example models for Stan
louisfb01/best_AI_papers_2021
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
JuanPalms/Schneider-Electric-DS-Hackaton
The data science challenge will consist in creating an image classification model, which from a given dataset, predicts what type of deforestation appears in the image with the objective of early detection of this type of actions in protected lands.
joaquinmenendez/PS_Dashboard
Dashboard para observar el perfil de gastos de los miembros del plan de salud del HI.
David-Damian/Optimization-Delaunay-surfaces
In this respository is developed the optimization problem related with Delaunay surfaces.
Skalas/Estadistica-Computacional-fall2021
David-Damian/postgres-flask-shiny-app
telmo-correa/all-of-statistics
Self-study on Larry Wasserman's "All of Statistics"
David-Damian/programming-for-data-science-
Repository of the course Programming for Data Science MCD ITAM 2019
agarbuno/modelacion-bayesiana
Notas y contenido del curso en Modelación Bayesiana para la MCD @ ITAM