Alternatives and similar repositories for industry2vec:

Users that are interested in industry2vec are comparing it to the libraries listed below

• rakutentech / spark-dirty-cat
  Similarity encoding of dirty categorical variables (strings)
  ☆20Updated 6 years ago
• WinVector / pyvtreat
  vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…
  ☆121Updated 2 months ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆116Updated 10 months ago
• ericmjl / causality
  In which I play with the ideas surrounding causality
  ☆51Updated 2 years ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• FlorianWilhelm / bhm-at-scale
  🪜 Bayesian Hierarchical Models at Scale
  ☆52Updated 3 years ago
• bradhackinen / nama
  Fast, flexible name matching for large datasets
  ☆71Updated last year
• darenasc / auto-eda
  Automated Exploratory Data Analysis. Simplifying Data Exploration
  ☆34Updated 4 years ago
• corriebar / Bayesian-Workflow-with-PyMC
  Repository with code, notebook and slides for my talk at PyConDE & PyData Berlin 2019
  ☆36Updated 2 years ago
• CamDavidsonPilon / lifestyles
  Work-In-Progress: conjoint analysis in Python
  ☆52Updated 6 years ago
• parsing-science / pydata_nyc_nov_2017
  ☆30Updated 7 years ago
• MI2DataLab / pyBreakDown
  Python implementation of R package breakDown
  ☆42Updated last year
• tcassou / babtest
  Python package for Bayesian Tests / AB Testing
  ☆40Updated 4 years ago
• pmbaumgartner / binder-notebooks
  Notebooks configured to be run with Binder, usually found on my blog.
  ☆42Updated 2 years ago
• unravelin / code-test-data-science
  Data Scientist code test
  ☆19Updated 4 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…
  ☆29Updated 2 years ago
• CamDavidsonPilon / PyDataNY_2019_tutorial
  Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference
  ☆25Updated 5 years ago
• fonnesbeck / multilevel_modeling
  Tutorial on multilevel modeling, using Gelman radon example
  ☆56Updated 9 years ago
• jphall663 / GWU_rml
  ☆35Updated this week
• jwills / de4ml
  Supporting materials/code examples for my course in data engineering for machine learning.
  ☆38Updated 2 years ago
• IQSS / cem
  ☆17Updated 2 years ago
• koaning / tokenwiser
  Bag of, not words, but tricks!
  ☆68Updated last year
• jmwoloso / pychattr
  Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library
  ☆58Updated 2 years ago
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆50Updated 3 years ago
• MaartenGr / UnitTesting
  Guide for applying Unit Testing in data-driven projects
  ☆19Updated 4 years ago
• bigdatabr / interactive-intro-rl
  Big Data's open seminars: An Interactive Introduction to Reinforcement Learning
  ☆15Updated 7 years ago
• moj-analytical-services / splink_demos
  Interactive notebooks containing demonstration code of the splink library
  ☆38Updated last year
• jm-contreras / data-science-management-resources
  A list of resources for current and aspiring data science managers
  ☆16Updated 4 years ago
• veekaybee / til
  Today I Learned Some Computer Stuff
  ☆39Updated 6 years ago
• jdmaturen / shifted_beta_geometric_py
  An implementation of the shifted-beta-geometric (sBG) model from Fader and Hardie's "How to Project Customer Retention" (2006)
  ☆55Updated 4 years ago