Alternatives and similar repositories for Insurance-Pricing-Game

Users that are interested in Insurance-Pricing-Game are comparing it to the libraries listed below

• bookingcom / upliftml
  UpliftML: A Python Package for Scalable Uplift Modeling
  ☆327Updated 2 years ago
• Mcompetitions / M6-methods
  Data, Benchmarks, and methods submitted to the M6 forecasting competition
  ☆129Updated last year
• zillow / quantile-forest
  Quantile Regression Forests compatible with scikit-learn.
  ☆250Updated last week
• xRiskLab / xBooster
  Explainable Boosted Scoring with Python: turning XGBoost, LightGBM, and CatBoost into explainable scorecards
  ☆47Updated last week
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆27Updated 3 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• py-why / causaltune
  AutoML for causal inference.
  ☆233Updated last year
• ing-bank / probatus
  SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
  ☆154Updated 8 months ago
• guillermo-navas-palencia / optbinning
  Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…
  ☆506Updated last week
• Sundar0989 / XuniVerse
  xverse (XuniVerse) is collection of transformers for feature engineering and feature selection
  ☆117Updated 2 years ago
• valendin / rfm2lstm
  Customer Base Analysis with Recurrent Neural Networks
  ☆19Updated 3 years ago
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆226Updated 2 years ago
• ewharton / ab-testing-resources
  ☆91Updated last year
• OVVO-Financial / NNS
  Nonlinear Nonparametric Statistics
  ☆99Updated 3 weeks ago
• StatMixedML / LightGBMLSS
  An extension of LightGBM to probabilistic modelling
  ☆353Updated 2 weeks ago
• cerlymarco / linear-tree
  A python library to build Model Trees with Linear Models at the leaves.
  ☆387Updated last year
• Minyus / causallift
  CausalLift: Python package for causality-based Uplift Modeling in real-world business
  ☆350Updated 2 years ago
• WillianFuks / tfcausalimpact
  Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
  ☆659Updated 11 months ago
• david26694 / cluster-experiments
  Power analysis and AB test analysis library
  ☆47Updated last week
• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆131Updated last year
• StatMixedML / CatBoostLSS
  An extension of CatBoost to probabilistic modelling
  ☆148Updated 2 years ago
• trainindata / feature-engineering-for-time-series-forecasting
  Code repository for the online course "Feature Engineering for Time Series Forecasting".
  ☆196Updated 2 years ago
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆60Updated 4 years ago
• Mcompetitions / M5-methods
  Data, Benchmarks, and methods submitted to the M5 forecasting competition
  ☆649Updated 2 years ago
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆27Updated 3 years ago
• modeva-ai / Modeva
  Integrated tool for model development and validation
  ☆33Updated last month
• stanek-fi / M6
  ☆13Updated 2 years ago
• ip200 / venn-abers
  Python implementation of binary and multi-class Venn-ABERS calibration
  ☆191Updated 2 months ago
• Nixtla / tsfeatures
  Calculates various features from time series data. Python implementation of the R package tsfeatures.
  ☆438Updated last year
• predict-idlab / powershap
  A power-full Shapley feature selection method.
  ☆211Updated 2 months ago