Alternatives and similar repositories for Statistical_Simulation_In_Python

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

• bradleyfay / Causal-Inference-for-Data-Scientists
  Notebooks of Python and R code which illustrates basic causal inference using simulated data
  ☆23Updated 6 years ago
• yoonhwang / hands-on-data-science-for-marketing
  ☆26Updated 4 years ago
• matheusfacure / exploratory-notebooks
  Unstructured Code with interesting analysis
  ☆36Updated last year
• larsroemheld / causalinf_ex_elasticity
  A full example for causal inference on real-world retail data, for elasticity estimation
  ☆52Updated 4 years ago
• analyticsbook / book
  ☆23Updated 2 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 6 years ago
• mainkoon81 / Study-02-AB-Testing
  Hypothesis testing (Parametric/Non-Parametric)
  ☆11Updated 6 years ago
• canyon289 / PyTestforDataScience_PyDataLA
  Pytest for Data Science Beginners
  ☆59Updated 7 years ago
• matteocourthoud / Blog-Posts
  Code and notebooks for my Medium blog posts
  ☆131Updated last year
• tdpetrou / Machine-Learning-Tutorials
  ☆12Updated 3 years ago
• uc-python / advanced-python-datasci
  Advanced Python for Data Science Workshop
  ☆13Updated last year
• AllenDowney / BayesianDecisionAnalysis
  Repository for a workshop on Bayesian Decision Analysis
  ☆74Updated 2 years ago
• NYUDataBootcamp / Materials
  Materials used in class when teaching Data Bootcamp at NYU Stern.
  ☆26Updated 7 years ago
• AlexRieber / datascience-teaching
  Here we host the lecture notes and problem sets for the "Projektkurs Data Science & Business Analytics" at Ulm University
  ☆18Updated 5 years ago
• ewharton / ab-testing-resources
  ☆91Updated last year
• tdpetrou / Minimally-Sufficient-Pandas
  There are always multiple ways to complete a task in Pandas. A minimal subset of the library is sufficient for almost everything.
  ☆90Updated 3 years ago
• ayhandis / creditR
  A Credit Risk Scoring Modeling and Validation Package
  ☆67Updated 6 years ago
• juanitorduz / website_projects
  Repository containing the code of the projects presented in my personal website.
  ☆45Updated this week
• bondicrypto / AB_Testing
  Implementing A/B Tests in Python
  ☆29Updated 5 years ago
• ronikobrosly / scipy_2022_causal_inference_tutorial
  A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session
  ☆32Updated 3 years ago
• ashish-kamboj / Market-Mix-Modeling
  Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
  ☆44Updated 4 years ago
• DanielhCarranza / causai
  Causai is a Python package for Causality in Machine Learning. We provide state-of-the-art causal algorithms and ML into decision-making s…
  ☆14Updated 5 years ago
• sachinruk / bayes_school
  ☆16Updated 6 years ago
• natematias / research_in_python
  This repository includes all the data analyses I carry out for my general exams reading, Spring 2015
  ☆64Updated 10 years ago
• amueller / sklearn-one-day
  One day workshop for machine learning with scikit-learn
  ☆63Updated 2 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆64Updated 3 years ago
• jphall663 / hc_ml
  Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
  ☆22Updated 6 years ago
• mtpa / mds
  Marketing Data Science
  ☆59Updated 10 years ago
• fonnesbeck / bayes_pydata_london_2024
  Probabilistic Programming and Bayesian Computing with PyMC
  ☆23Updated last year
• DiegoUsaiUK / Propensity_Modelling
  Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign
  ☆27Updated 3 years ago