AntonsRuberts / datascience_marketing
Here I'll publish all of my personal projects that relate to Data Science in Marketing
☆43Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for datascience_marketing
- Quick Implementation in python☆53Updated 5 years ago
- Code for the article Modeling Marketing Mix using PyMC3☆24Updated 2 years ago
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆41Updated 3 years ago
- Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…☆15Updated last year
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆67Updated 4 years ago
- Analytics for building Customer Journey Map in Ecommerce☆28Updated 4 years ago
- Analysis for Customer Segmentation☆66Updated 4 years ago
- This repo contains the project details of the Applied Data Science Course, which is Marketing Mix Models regarding the advertising respon…☆23Updated 2 years ago
- Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign☆28Updated last year
- Implementing A/B Tests in Python☆28Updated 4 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…☆135Updated last year
- Udacity Data Science Nanodegree Capstone☆34Updated 4 years ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆57Updated 2 years ago
- Predicting Employee Churn with Supervised Machine Learning☆65Updated 3 years ago
- An attention-based Recurrent Neural Net multi-touch attribution model in a supervised learning fashion of predicting if a series of event…☆29Updated 3 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆41Updated 3 years ago
- ☆26Updated 3 years ago
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆89Updated 6 months ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆45Updated 6 years ago
- ☆32Updated 8 months ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆45Updated 3 years ago
- Marketing Mix Modeling Data Generator☆44Updated 2 years ago
- Project work for Udacity's AB Testing Course☆81Updated 7 years ago
- Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks☆25Updated 4 years ago
- customer lifetime value BG/NBD model☆16Updated 2 years ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆73Updated last month
- Example usage of scikit-hts☆56Updated 2 years ago
- Implementation of feature engineering from Feature engineering strategies for credit card fraud☆40Updated 3 years ago
- Feature engineering package with sklearn like functionality☆50Updated 2 months ago
- A Credit Risk Scoring Modeling and Validation Package☆67Updated 5 years ago