My first classification problem solved with logistic regression.

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

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.

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.

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.

Python in Data Science

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.

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.

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.

The repository covers some of the key concepts of Inferential Statistics with the help of R.

This repository contains introductory notebooks for basic hypothesis testing problems.

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