Calculating A/B test of travel application with proportion z-score
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Updated
May 24, 2024 - Jupyter Notebook
Calculating A/B test of travel application with proportion z-score
Performed rigorous preprocessing, and data cleaning, and conducted exploratory data analysis to identify trends, patterns, and outliers, leading to valuable insights. Employed various statistical methods concepts to get insights about the data for prediction.
Examples of using the test statistics to test hypotheses
Collection of Jupyter Notebooks covering fundamental concepts such as hypothesis testing, statistical power, and various tests for one or two samples, as well as variance. Most functions and test are written from scratch for educational purposes.
Aplikasi Shiny untuk mendemonstrasikan kebutuhan akan distribusi t
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About Performed A/B test and help the company decide whether they should implement the new web page, keep the old page, or run the experiment longer.
The project explores a range of methods, including both statistical analysis, traditional machine learning and deep learning approaches to anomaly detection a critical aspect of data science and machine learning, with a specific application to the detection of credit card fraud detection and prevention.
GloBox is an online marketplace that specializes in sourcing unique and high-quality products worldwide. The Growth team decides to run an A/B test highlighting critical products in the food and drink category as a banner at the top of the website.
Performed A/B test and help the company decide whether they should implement the new web page, keep the old page, or run the experiment longer.
Machine learning for beginner(Data Science enthusiast)
Цель исследования: провести исследовательский анализ поведения пользователей мобильного приложения “Ненужные вещи”.
Цель исследования: Оценка результатов A/B-теста - Изменение платежной воронки в интернет-магазине
E-news Express, an online news portal, aims to expand its business by acquiring new subscribers. This python based project performs EDA, data visualization and conducts a no of statistical tests to determine key business insights: in particular whether the new landing page can get greater viewership duration and subscriber conversion
working to understand the results of an A/B test run by an e-commerce website. The company has developed a new web page in order to try and increase the number of users who "convert," meaning the number of users who decide to pay for the company's product.
Tester for basic statistical tests
Large sample tests for Means and proportions based on single and two samples using R
This repository contains introductory notebooks for basic hypothesis testing problems.
An electronic news aggregator is testing new landing pages in an effort to halt a decline in new subscriber rates. This analysis details the engagement levels and conversion rates of the new pages.
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