Development of the theoretical basis for statistical hypothesis testing with calculation of sample data sets
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Updated
Dec 10, 2020 - Jupyter Notebook
Development of the theoretical basis for statistical hypothesis testing with calculation of sample data sets
A/B Testing or gray released smart grouping engine
Project completed within the module "Final project" of the Data Analyst course on the Karpov Courses platform
Udacity's Data Analyst Nanodegree - Projects 1-7
Project completed within the module "Final project" of the Data Analyst course on the Karpov Courses platform
Analyzing A/B Test Results of E-Commerce Website
A simple web app that helps identify statistical interactions between A/B tests.
Analyze results of an A/B test run by an e-commerce website.
Hands-on: AB Test and Multi-Armed Bandit
Create experimental features within your iOS app that can be enabled and disabled.
Projects completed for Data Analyst Course by Yandex.Practicum. Main working tools: Python and Pandas.
a spark extensions to help analyze abtest experiments based on raw data
implementation of an AB test for a recommendation system using the dataset movielens 10m
UX Analytics & A/B Testing
This is your the only entry point to deeply understand controlled experiments and begin to use them in practice.
This repository includes all projects that I have done during Data Analyst Term 1 Nano Degree
An analysis of A/B Test results to help an e-commerce site decide whether or not they should implement a new page design.
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