AntonsRuberts / datascience_marketingLinks
Here I'll publish all of my personal projects that relate to Data Science in Marketing
☆49Updated 5 years ago
Alternatives and similar repositories for datascience_marketing
Users that are interested in datascience_marketing are comparing it to the libraries listed below
Sorting:
- Quick Implementation in python☆53Updated 5 years ago
- Notes and Python scripts for A/B or Split Testing☆142Updated 3 years ago
- What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…☆153Updated 2 years ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆58Updated 3 years ago
- Analysis for Customer Segmentation☆72Updated 5 years ago
- Code from the book Fighting Churn With Data☆300Updated 2 months ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆84Updated last year
- Code for the article Modeling Marketing Mix using PyMC3☆27Updated 3 years ago
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆418Updated last year
- Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…☆15Updated last month
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆77Updated 5 years ago
- Hands-On Data Science for Marketing, published by Packt☆251Updated 4 months ago
- Implementing A/B Tests in Python☆28Updated 5 years ago
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆43Updated 4 years ago
- Predicting Employee Churn with Supervised Machine Learning☆64Updated 4 years ago
- ☆100Updated 3 years ago
- A proof-of-concept for implementing multi-touch attribution using Markov Chains☆13Updated 7 years ago
- Implementation of feature engineering from Feature engineering strategies for credit card fraud☆42Updated 4 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- ☆136Updated 6 years ago
- This project introduces Causal AI and how it can drive business value.☆51Updated last year
- This repo contains the project details of the Applied Data Science Course, which is Marketing Mix Models regarding the advertising respon…☆25Updated 3 years ago
- Predictive Lead Scoring does all the hard work for you by leveraging Machine Learning to provide your sales and marketing team with in-de…☆102Updated last year
- ☆89Updated 2 years ago
- Analytics for building Customer Journey Map in Ecommerce☆29Updated 5 years ago
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆118Updated last year
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆48Updated 7 years ago
- Example usage of scikit-hts☆57Updated 3 years ago
- customer lifetime value BG/NBD model☆17Updated 3 years ago
- Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library☆59Updated 3 years ago