DiegoUsaiUK / Propensity_ModellingLinks
Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
☆27Updated 2 years ago
Alternatives and similar repositories for Propensity_Modelling
Users that are interested in Propensity_Modelling are comparing it to the libraries listed below
Sorting:
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- To create a market mix model for ElecKart (an e-commerce firm from Ontario, Canada) for several products categories - to observe the actu…☆21Updated 6 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated 2 years ago
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆64Updated 2 years ago
- This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your ow…☆66Updated last year
- Slides for "Feature engineering for time series forecasting" talk☆62Updated 3 years ago
- Source code from my Master's thesis @Polytechnique Montréal. A solution to the assortment optimization problem, able to deal with large n…☆19Updated 8 years ago
- Sell Out Sell In Forecasting project implemented at Nestlé☆21Updated 3 years ago
- Companion Notebooks and Data for Data Science with Python and Dask from Manning Publications☆53Updated 5 years ago
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆43Updated 4 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 10 months ago
- ☆18Updated 4 years ago
- Example usage of scikit-hts☆57Updated 3 years ago
- Quick Implementation in python☆53Updated 6 years ago
- References to the Medium articles☆86Updated 3 years ago
- Guide for applying Unit Testing in data-driven projects☆22Updated 5 years ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆45Updated 6 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆79Updated 5 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- Various methods for generating synthetic data for data science and ML☆80Updated 4 years ago
- Code for the article Modeling Marketing Mix using PyMC3☆27Updated 3 years ago
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.☆65Updated 10 months ago
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effect☆60Updated 4 years ago
- Pytest for Data Science Beginners☆59Updated 7 years ago
- Feature engineering package with sklearn like functionality☆56Updated last year
- Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…☆121Updated last year
- AlekhyaBhupati / Demand-Forecasting-Models-for-Supply-Chain-Using-Statistical-and-Machine-Learning-AlgorithmsInternship project☆55Updated 4 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 2 weeks ago
- Validation for forecasts☆17Updated 2 years ago