Alternatives and similar repositories for AB_Testing:

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

• renatofillinich / ab_test_guide_in_python
  ☆90Updated 2 years ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆140Updated 2 years ago
• pleonova / ab-testing
  Jupyter notebook templates for running and evaluating website ABn tests.
  ☆25Updated 6 years ago
• slavakx / bayesian_mmm
  Code for the article Modeling Marketing Mix using PyMC3
  ☆26Updated 2 years ago
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆53Updated 5 years ago
• hamzaben86 / Employee-Churn-Predictive-Model
  Predicting Employee Churn with Supervised Machine Learning
  ☆65Updated 4 years ago
• srivatsan88 / AI-Value-Realization-Framework
  This repository is to host template for calculating ROI on Artificial Intelligence projects
  ☆44Updated 5 years ago
• Acrotrend / Awesome-Customer-Analytics
  A curated list of awesome customer analytics content
  ☆95Updated 7 years ago
• yoonhwang / hands-on-data-science-for-marketing
  ☆27Updated 3 years ago
• nirupamaprv / Analyze-AB-test-Results
  E-Commerce Website A/B testing: Recommend which of two landing pages to keep based on A/B testing
  ☆23Updated 7 years ago
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 3 years ago
• sayakpaul / A-B-testing-with-Machine-Learning
  Implemented an A/B Testing solution with the help of machine learning
  ☆46Updated 3 years ago
• treselle-systems / customer_churn_analysis
  In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…
  ☆59Updated last year
• juanitorduz / ml_prod_tutorial
  Explore tips and tricks to deploy machine learning models with Docker.
  ☆13Updated last year
• MaartenGr / CustomerSegmentation
  Analysis for Customer Segmentation
  ☆68Updated 4 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
• solegalli / Python-Feature-Engineering-Cookbook-First-Edition
  ☆31Updated 8 months ago
• AntonsRuberts / datascience_marketing
  Here I'll publish all of my personal projects that relate to Data Science in Marketing
  ☆45Updated 4 years ago
• LeihuaYe / Statistical_Simulation_In_Python
  ☆13Updated 3 years ago
• baumanab / udacity_ABTesting
  Project work for Udacity's AB Testing Course
  ☆82Updated 7 years ago
• 30lm32 / ml-ab-testing
  A/B testing Landing Page Dataset
  ☆9Updated 5 years ago
• raghavbali / appliedml_workshop_dhs_av_2019
  Content for Applied ML Workshop @ DataHack Summit 2019
  ☆25Updated 5 years ago
• leopoldavezac / BayesianMMM
  (ml) - python implementation of bayesian media mix modelling with shape and carryover effect
  ☆58Updated 3 years ago
• ASOS / dsf2020
  Data Science Festival Workshop 7 November 2020 – Building a fashion recommender using Tensorflow/Keras with ASOS.
  ☆25Updated 4 years ago
• solegalli / deploying-machine-learning-models
  Example Repo for the Udemy Course "Deployment of Machine Learning Models"
  ☆20Updated 4 years ago
• narviis / bayesian-abtests-examples
  Bayesian AB Tests Examples
  ☆22Updated 2 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
• jalajthanaki / Customer_lifetime_value_analysis
  Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
  ☆45Updated 6 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆58Updated 2 years ago
• vikua / ts-workshop
  ☆13Updated 2 years ago