Machine learning for beginner(Data Science enthusiast)
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Updated
Sep 7, 2023 - Jupyter Notebook
Machine learning for beginner(Data Science enthusiast)
This repository is created for storing the components of Statistical Tests of One Pop, Two Pops and Three or more pops using Python.
Analysis of Romantic Relationships using Statistical Modeling
The data relates to several user actions or interests recorded on two variants of landing pages for an online news portal. The objective is to analyse these interests by performing statistical analyses to determine if one variant is more effective based on chosen metrics (A/B testing).
Implementation of some r programs using R studio.
This repository has been created to link my statistical testing assignments and independent studies for Thinkful as I navigate thru the Data Analytics Immersion program from October 2020 - January 2021.
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
Analyse efficacy of your own methods for calculating confidence interval
My first classification problem solved with logistic regression.
This repository contains all of the statistical Inference-related projects I've worked on. The projects are part of the graduate course at the University of Tehran.
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.
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.
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.
Example of Proportion Z-Test for A/B Testing in Python
Probability and Statistics for Data Scientist - Course Project. Various Testing(Hypothesis, T-Test, Z-Test, KS Test etc) are performed on Covid and crime dataset for Los Angeles. Auto Regression and Linear Regression are also performed without using scimitar libraries in python.
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.
This project used Hypothesis Testing and Visualization to leverage customer's health information like smoking habits, bmi, age, and gender for checking statistical evidence to make valuable decisions of insurance business like charges for health insurance.
Examples of using the test statistics to test hypotheses
Add a description, image, and links to the z-test topic page so that developers can more easily learn about it.
To associate your repository with the z-test topic, visit your repo's landing page and select "manage topics."