Alternatives and similar repositories for assortment_optimization:

Users that are interested in assortment_optimization are comparing it to the libraries listed below

• thejat / scalable-data-driven-assortment-planning
  Code accompanying paper titled "Optimizing Revenue over Data-driven Assortments" (2021)
  ☆24Updated 3 years ago
• klostest / uplift_modeling
  ☆17Updated 4 years ago
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆27Updated 2 years ago
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 6 years ago
• ashish-kamboj / Market-Mix-Modeling
  Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
  ☆40Updated 3 years ago
• david-cortes / datascienceprojects
  Sample data science projects (machine learning, optimization, business intelligence)
  ☆27Updated 6 years ago
• gkamradt / time-series-cheat-sheet
  Quick cheat sheet to time series models using NYC Taxi Data
  ☆16Updated 5 years ago
• saritmaitra / Segmentation-Clustering
  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
• MatCyt / Markov-Chain
  R based marketing attribution and basic budget optimization using Markov Chains
  ☆50Updated 5 years ago
• aredier / trelawney
  General Interpretability Package
  ☆58Updated 2 years ago
• DoktorMike / dammmdatagen
  Marketing Mix Modeling Data Generator
  ☆45Updated 3 years ago
• brian-c-ogorman / ABanditTesting
  No Regrets: A deep dive comparison of bandits and A/B testing
  ☆47Updated 7 years ago
• jwmueller / BanditDynamicPricing
  Bandit algorithms for dynamic pricing of many products
  ☆39Updated 5 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago
• finlytics-hub / churn_model-survival-analysis
  ☆13Updated 4 years ago
• mlandry22 / av-hikeathon
  Analytics Vidhya Hikeathon
  ☆10Updated 5 years ago
• bachmannpatrick / CLVTools
  R-Package for estimating CLV
  ☆55Updated 2 months ago
• antklen / kaggle_favorita-grocery-sales
  12th place solution for Kaggle Corporación Favorita Grocery Sales Forecasting
  ☆15Updated 7 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆52Updated 3 years ago
• datacamp / datacamp_facebook_live_ny_resolution
  In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym'…
  ☆44Updated 7 years ago
• dimitreOliveira / StoreItemDemand
  (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
  ☆26Updated 5 years ago
• fastforwardlabs / couples-lime
  Notebook demonstrating use of LIME to interpret a model of long-term relationship success
  ☆24Updated 7 years ago
• jakebenn / multi-touch-attribution-markov-chains
  A proof-of-concept for implementing multi-touch attribution using Markov Chains
  ☆12Updated 6 years ago
• gdmarmerola / cfml_tools
  My collection of causal inference algorithms built on top of accessible, simple, out-of-the-box ML methods, aimed at being explainable an…
  ☆28Updated 2 years ago
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆22Updated 4 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆36Updated 5 years ago
• rsquaredacademy / rfm
  Tools for Customer Segmentation using RFM Analysis
  ☆62Updated 7 months ago
• psu4 / Marketing-Mix-Modeling-
  ☆26Updated 9 years ago
• jimmycy93 / Credit-Card-Fraud-Detection
  A project on machine learning techniques dealing with imbalanced classification (Python)
  ☆11Updated 7 years ago
• btrotta / kaggle-m5
  Top 3% solution for Kaggle M5 Accuracy competition
  ☆23Updated 4 years ago