Pinned Repositories
AdrianTJ
Advanced-regression-final-project
Here we will be developing the final project of the Adavanced Regression class, MSc. Data Science ITAM
amaryaml
Amarakon’s personal YAML for R Markdown
analisis-numerico-computo-cientifico
Fork del repo del curso Annálisis numérico y cómputo científico de la MCD
aprendizaje-estadistico
Notas de Aprendizaje Estadistico por Alfredo Garbuno
aprendizaje-maquina-mcd-2022
Notas y material para el curso de aprendizaje máquina (MCD ITAM 2022)
image-denoising-radiographics
Trough a deep learning approach and using advanced tools of AWS cloud, we develop project related with denoise radiographics.
Optimization-Delaunay-surfaces
In this respository is developed the optimization problem related with Delaunay surfaces.
postgres-flask-shiny-app
programming-for-data-science-
Repository of the course Programming for Data Science MCD ITAM 2019
David-Damian's Repositories
David-Damian/image-denoising-radiographics
Trough a deep learning approach and using advanced tools of AWS cloud, we develop project related with denoise radiographics.
David-Damian/Optimization-Delaunay-surfaces
In this respository is developed the optimization problem related with Delaunay surfaces.
David-Damian/Bayesian-Analysis-of-the-solvency-of-BBVA-Mexico.
Here we will be developing the final project of the Adavanced Regression class, MSc. Data Science ITAM
David-Damian/postgres-flask-shiny-app
David-Damian/aprendizaje-estadistico
Notas de Aprendizaje Estadistico por Alfredo Garbuno
David-Damian/aprendizaje-maquina-mcd-2022
Notas y material para el curso de aprendizaje máquina (MCD ITAM 2022)
David-Damian/AWS-Machine_Learning_Engineering
David-Damian/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
David-Damian/buenas_practicas_codigo
En este repositorio se desarrolla la transformación de un código sucio a código limpio.
David-Damian/DataEngineering-spark_n_data-lakes
Practicing Spark with Pyspark and building data lakes in AWS
David-Damian/David-Damian
Config files for my GitHub profile.
David-Damian/deep--learning
I develop mini projects related with deep learning in this repository.
David-Damian/deploying-machine-learning-models
Code for the online course "Deployment of Machine Learning Models"
David-Damian/example-models
Example models for Stan
David-Damian/handson-ml3-practice
Practicing ML using Scikit-Learn
David-Damian/Hunting-for-uncertainty-Bayesian-predator-predator-model
Combining the power of bayesian statistics and dynamical systems theory, here is present a interesting application in real world of bayesian workflow.
David-Damian/Introduccion_al_codigo_limpio
David-Damian/itergp
IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)
David-Damian/kalmaning-object-tracking
David-Damian/metodos-analiticos-mcd-2023
Material y código para el curso de Métodos Analíticos MCD-2023
David-Damian/ML-Pipeline
House prices prediction via a Machine Learning pipeline
David-Damian/ML_DevOps_Engineering
David-Damian/mlops-course-hw
HW related to the MLOPs Zoomcamp hows
David-Damian/mlops-zoomcamp
Free MLOps course from DataTalks.Club
David-Damian/modelacion-bayesiana
Fork del repo para el curso en Modelación Bayesiana MCD
David-Damian/NumericsOfML
Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
David-Damian/Risk-Modeling-Challenge
In this repository, I include the necessary steps for training, calibration, and deployment of a risk model in the context of a financial institution
David-Damian/stat_rethinking_2023
Statistical Rethinking Course for Jan-Mar 2023
David-Damian/The-Simpson-Episode-Analysis
Applying big data techniques in searching for relation on guests and rating in Simpsons' seasons.
David-Damian/Working-backwards-MuscleFriend
Working-backwards para un producto de datos (MuscleFriend app de fitness)