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
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.
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.
Udacity's Data Analyst Nanodegree - Projects 1-7
Analyze results of an A/B test run by an e-commerce website.
Hands-on: AB Test and Multi-Armed Bandit
implementation of an AB test for a recommendation system using the dataset movielens 10m
This repository includes all projects that I have done during Data Analyst Term 1 Nano Degree
This Project is part of the Udacity Advanced Data Analysis Nanodegree Program, This is project two (Analyze A/B Test Results).
A/B test for an e-commerce website
I will be working to understand the results of an A/B test run by an e-commerce website.
Replication of a RCT (A/B Test) originally done by Dr. Andrew Friedson.
This is my Use Case for the Udacity Nanodegree "Data Product Management"
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
a spark extensions to help analyze abtest experiments based on raw data
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