13 Repositories
Python marketing-campaigns Libraries
Lightweight mmm - Lightweight (Bayesian) Media Mix Model
Lightweight (Bayesian) Media Mix Model This is not an official Google product. L
Stock game is a python program that simulates real-life stock marketing, saving, and investments
Stock game is a python program that simulates real-life stock marketing, saving, and investments. Users get to trade and manage their portfolio and manage their 100,000 dollar portfolio.
Kaggle competition: Springleaf Marketing Response
PruebaEnel Prueba Kaggle-Springleaf-master Prueba Kaggle-Springleaf Kaggle competition: Springleaf Marketing Response Competencia de Kaggle: Marketing
Este projeto se trata de uma análise de campanhas de marketing de uma empresa que vende acessórios para veículos.
Marketing Campaigns Este projeto se trata de uma análise de campanhas de marketing de uma empresa que vende acessórios para veículos. 1. Problema A em
Analytical view of olist e-commerce in Brazil
Analysis of E-Commerce Public Dataset by Olist The objective of this project is to propose an analytical view of olist e-commerce in Brazil. For this
An e-commerce company wants to segment its customers and determine marketing strategies according to these segments.
customer_segmentation_with_rfm Business Problem : An e-commerce company wants to
Red-mail - Advanced email sending library for Python
Red Mail Next generation email sender What is it? Red Mail is an advanced email
Predict and time series avocado hass
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You can easily send campaigns, e-marketing have actually account using cash will thank you for using our tools, and you can support our Vodafone Cash +201090788026
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Retentioneering: product analytics, data-driven customer journey map optimization, marketing analytics, web analytics, transaction analytics, graph visualization, and behavioral segmentation with customer segments in Python.
What is Retentioneering? Retentioneering is a Python framework and library to assist product analysts and marketing analysts as it makes it easier to
Recommendation systems are among most widely preffered marketing strategies.
Recommendation systems are among most widely preffered marketing strategies. Their popularity comes from close prediction scores obtained from relationships of users and items. In this project, two recommendation systems are used for two different datasets: Association Recommendation Learning and Collaborative Filtering. Please read the description for more info.
Tools for running airdrop and token distribution campaigns on the Solana blockchain.
Overview This repository contains some of the scripts we have used for running our airdrop campaigns and other distributions. Initially, all of these
First Party data integration solution built for marketing teams to enable audience and conversion onboarding into Google Marketing products (Google Ads, Campaign Manager, Google Analytics).
Megalista Sample integration code for onboarding offline/CRM data from BigQuery as custom audiences or offline conversions in Google Ads, Google Analy