yoonhwang / hands-on-data-science-for-marketingLinks
☆26Updated 3 years ago
Alternatives and similar repositories for hands-on-data-science-for-marketing
Users that are interested in hands-on-data-science-for-marketing are comparing it to the libraries listed below
Sorting:
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆47Updated 7 years ago
- ☆32Updated last year
- Marketing Data Science☆59Updated 9 years ago
- Hands-On Data Science for Marketing, published by Packt☆248Updated 2 months ago
- Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales☆41Updated 4 years ago
- Tutorial given at PyData LA 2018☆97Updated 10 months ago
- Slides and code examples for H2O tutorials at various events☆56Updated 7 years ago
- Python data science and machine learning from Ted Petrou with Dunder Data☆55Updated 2 years ago
- Quick Implementation in python☆52Updated 5 years ago
- Project work for Udacity's AB Testing Course☆83Updated 8 years ago
- ☆26Updated 5 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
- Calculating Customer Lifetime Value (CLV) with Recency, Frequency, and Monetary (RFM)☆50Updated 4 years ago
- ☆40Updated 8 years ago
- Fitted a multivariate regression model on a brand’s product Sales Volume and the availabe marketing time series data to (i.e. Advertising…☆39Updated 7 years ago
- Added repo for PyData LA 2018 tutorial☆88Updated 6 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆50Updated 4 years ago
- Modeling Techniques in Predictive Analytics with Python and R☆67Updated 9 years ago
- In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…☆60Updated 2 years ago
- Notes and Python scripts for A/B or Split Testing☆140Updated 2 years ago
- Learning statistics with Python☆53Updated 4 years ago
- ☆92Updated 5 years ago
- Applied Probability Theory for Everyone☆117Updated 9 months ago
- ☆123Updated 2 years ago
- Forecasting Uber demand in NYC neighborhoods☆34Updated 7 years ago
- Experimenting with and teaching probabilistic programming☆104Updated 3 years ago
- ☆98Updated 6 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆45Updated 4 years ago
- A Credit Risk Scoring Modeling and Validation Package☆67Updated 6 years ago
- Personal repository of data science demonstrations and references☆76Updated 2 years ago