dorelyms Goto Github PK
Type: User
Company: ITAM
Bio: M. Sc. student in Data Science
Location: Mexico
Type: User
Company: ITAM
Bio: M. Sc. student in Data Science
Location: Mexico
Análisis numérico y cómputo científico
Notas y material para el curso de Aprendizaje de Máquina (ITAM, Otoño 2019)
Wordpress Blog Files
Python Causal Impact port of Google's Algorithm.
:exclamation: This is a read-only mirror of the CRAN R package repository. ChannelAttribution — Markov Model for Online Multi-Channel Attribution. Homepage: http://www.channelattribution.net
Repositorio del proyecto de la materia Data Product Architecture. Equipo 2
Class notes for the computational statistics class (Spanish), master in Data Science ITAM
Class notes for multivariate statistics class, ITAM, master in Data Science
ex-modulo-3-comp-matricial-jacobi-gauss-seidel-anabco created by GitHub Classroom
En este repositorio se desarrolla el examen de cómputo matricial que desarrollo el equipo QR-Python.
ex-modulo-3-comp-matricial-svd-czammar created by GitHub Classroom
Notas del curso fundamentos de estadística.
Proyecto Introduction to Data Science
Este es un repositorio para la clase de aprendizaje de máquina
Una intro a análisis de datos, Escuela AME, Septiembre 2019
Este es el jupyter de mi proyecto final en Python para el Curso Propedéutico de la MCD.
Notas y material para el curso de Métodos Analíticos (Maestría en Ciencia de Datos, ITAM, 2020).
Python/STAN Implementation of Multiplicative Marketing Mix Model, with deep dive into Adstock (carry-over effect), ROAS, and mROAS
Notas y contenido del curso en Modelación Bayesiana para la MCD
Repositorio de proyecto final para la materia de Materia de Métodos Numéricos y Optimización del semestre 2020-1 en la Maestría en Ciencia de Datos, ITAM.
Material de taller de introducción a R para análisis de datos
repo de prueba para uso de git
Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) code from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression with cross validation, multi-objective evolutionary algorithm for hyperparameter optimisation, gradient-based optimisation for budget allocation etc.) to define media channel efficiency and effectivity, explore adstock rates and saturation curves. It's built for granular datasets with many independent variables and therefore especially suitable for digital and direct response advertisers with rich dataset.
Code and slides for RStudio webinars
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.