AntonsRuberts / datascience_marketingLinks
Here I'll publish all of my personal projects that relate to Data Science in Marketing
☆49Updated 4 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:
- Code for the article Modeling Marketing Mix using PyMC3☆27Updated 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…☆147Updated 2 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆75Updated 5 years ago
- Quick Implementation in python☆52Updated 5 years ago
- Analysis for Customer Segmentation☆71Updated 4 years ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆58Updated 3 years ago
- A PoC for a fractional attribution model leveraging first order Markov Chains.☆82Updated 9 months ago
- Implementing A/B Tests in Python☆28Updated 5 years ago
- References to the Medium articles☆86Updated 2 years ago
- Hands-On Data Science for Marketing, published by Packt☆248Updated 2 months ago
- Code from the book Fighting Churn With Data☆292Updated this week
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆45Updated 4 years ago
- Notes and Python scripts for A/B or Split Testing☆140Updated 2 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆47Updated 7 years ago
- Jupyter notebook templates for running and evaluating website ABn tests.☆25Updated 6 years ago
- Repository to maintain all my clutter☆74Updated 4 years ago
- ☆99Updated 3 years ago
- Implementation of feature engineering from Feature engineering strategies for credit card fraud☆41Updated 4 years ago
- Slides for "Feature engineering for time series forecasting" talk☆61Updated 2 years ago
- ☆32Updated last year
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆41Updated 4 years ago
- A curated list of awesome machine learning libraries for marketing, including media mix models, multi touch attribution, causal inference…☆112Updated last year
- A curated list of awesome customer analytics content☆98Updated 7 years ago
- Feature engineering package with sklearn like functionality☆54Updated 10 months ago
- Example usage of scikit-hts☆57Updated 3 years ago
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆412Updated last year
- Udacity Data Science Nanodegree Capstone☆36Updated 5 years ago
- Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign☆27Updated 2 years ago
- An end-to-end project on customer segmentation☆82Updated 2 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆50Updated 4 years ago