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.

Code and data for the paper "Critical Values Robust to P-hacking"

Examples of using the test statistics to test hypotheses

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.

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.

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.

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.

Homeworks and R projects for the course Foundations of Data Science

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).

Analysis of Romantic Relationships using Statistical Modeling

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.

Explore the Statistics Interview Preparation Guide! This GitHub repository offers a curated collection of interview questions and answers tailored for Data Scientists. Elevate your statistical knowledge, confidently navigate technical interviews, and prepare for success in the dynamic field of data science with a focus on statistical applications.

Hypothesis Testing in Data Analysis This repository contains a Jupyter Notebook demonstrating various hypothesis testing techniques using Python. It covers statistical tests such as t-tests, ANOVA, chi-square, and non-parametric methods, with real-world examples and visualizations.

In Statistics, various tables used to reference critical values for different distributions and tests.

This repo contains various Statistics techniques like descriptive_Statistics including Central tendency, CLT, Z_Score and inferential statistics etc..

This project involves exploratory data analysis and statistical testing for AtliQo Bank's new credit card launch. Key insights include targeting high-income occupations and the 18-25 age group. Recommendations focus on tailored marketing campaigns, education, and incentives to enhance credit card adoption and usage among young adults.

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.

Analyse efficacy of your own confidence interval (CI) methods