josuegonzalez Goto Github PK
Type: User
Type: User
An experimental open-source attempt to make GPT-4 fully autonomous.
A curated list of resources related to internet marketing.
This repository will contain the artifacts needed for setting up Conversions API implementation on Google Tag Manager's serverside. Please follow the instructions https://www.facebook.com/business/help/702509907046774
📊 Data Science Resources, Data Science Standards & Machine Learning Pipelines
Marketing Budget Optimization for Online Retailers using AI & Machine Learning.
* Pixel on all pages, which trigger events link, PageView, ViewContent, AddToCart, Initiatecheckout and Purchase.* In the background, Syncs the products from the merchants product catalog to Facebook Catalog.* Stores all the data, like pixel id, catalog id, business maanger id, on to the local database on the instance.
A plugin for advertisers who use Wordpress to enable them easily setup the facebook pixel.
A Python tool to forecast Google Analytics data using several popular time series models.
Time Series Forecasting Best Practices & Examples by Microsoft
GeoLift is an end-to-end geo-experimental methodology based on Synthetic Control Methods used to measure the true incremental effect (Lift) of ad campaign.
Award winning Google Ads Scripts by Brainlabs
Hands-On Data Science for Marketing, published by Packt
A UI framework that provides websites with the minimal CSS and JS needed to get started with building a modern responsive beautiful website
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.
A lightweight Facebook library supporting the Graph, Marketing, and Atlas APIs, realtime updates, test users, and OAuth.
A slack app + bot that sends kudos to your fellow peers on the workspace.
LightweightMMM 🦇 is a lightweight Bayesian Marketing Mix Modeling (MMM) library that allows users to easily train MMMs and obtain channel attribution information.
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).
A curated collection of marketing articles & tools to grow your product.
Study guides for MIT's 15.003 Data Science Tools
In this research paper, Annalect used Google and Facebook conversion lift studies to calibrate our Multi-Touch Attribution results from Google Ads Data Hub (ADH). We assessed the feasibility of these conversion lift calibrations and the impact of using conversion lift results in the calibration adjustment.
Sample codes that allows to fetch different Reach and Frequency curves from the Facebook Marketing API.
Applied Probability Theory for Everyone
✅ A checklist of things to do before releasing your project
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth by Meta
Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
Robyn is an experimental, automated and open-sourced Marketing Mix Modeling (MMM) package from Facebook Marketing Science. It uses various machine learning techniques (Ridge regression, 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.
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.