GitHub topics: propensity-modelling
munas-git/BankCampaign-Propensity
Predicting customer conversion likelihood for bank term deposit campaigns using a calibrated propensity model to optimise telemarketing outreach.
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gmgeorg/pypsps
Predictive State Propensity Subclassification (PSPS): A causal deep learning algoritm in TensorFlow keras
Language: Jupyter Notebook - Size: 6.53 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 18 - Forks: 1
munas-git/website-traffic-analysis
Website Traffic & Conversion Prediction: Regression and churn analysis for a UK heat pump company to optimize the conversion funnel using user behavior data.
Language: Jupyter Notebook - Size: 572 KB - Last synced at: 22 days ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
Hari-Dorbala/Propensify
The insurance company has a historical data set (train.csv). The company has also provided a list of potential customers to whom to market (test.csv). From this list of potential customers, the model determines whom to market and whom not to.
Language: Jupyter Notebook - Size: 9.64 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
saranshkr/purchase-propensity-model
Propensity model to predict a customer's likelihood of purchasing a product from an online store based on past behaviour
Language: Jupyter Notebook - Size: 3.93 MB - Last synced at: 10 months ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 0
dixitamol/insuranceSalePredictor
The feature of interest is whether or not a customer buys a caravan insurance, based on socio-demographic factors and ownership of other insurance policies; and to build profile of a typical customer.
Language: R - Size: 4.04 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 1
AjNavneet/CustomerPropensity_RFM_PurchaseModelling
Propensity Modelling and RFM Analysis to predict users' likelihood of making a purchase.
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cmdecesaris/Casual-Inference-Gun-Laws
Explores the relationship between population demographics, various crime rates, and shall carry gun laws across different regions of the United States between 1977-1999 using a propensity weighted mixed linear effects model.
Language: CSS - Size: 26.4 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
DiegoUsaiUK/Propensity_Modelling
Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
Language: R - Size: 34.2 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 11
advaithasabnis/target-and-market
A data-driven tool to identify the best candidates for a marketing campaign and optimize it.
Language: Python - Size: 5.97 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 23 - Forks: 2
simran-padam/sales-analysis
Sales prediction for a segment of product.
Language: Jupyter Notebook - Size: 150 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
hklchung/UpliftModelling
A repo with functions for building various COMs and GCOMs quickly.
Language: Python - Size: 26.4 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1
