📊 Computation and processing of models' parameters

The MultipleTesting package offers common algorithms for p-value adjustment and combination and more…

Fast manhattenplots using ggplot2

A/B Testing for E-commerce website

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.

a simple shiny app that perform statistical tests such as normal test, t-test, and chi-square test

A F&B manager wants to determine whether there is any significant difference in the diameter of the cutlet between two units. A randomly selected sample of cutlets was collected from both units and measured? Analyze the data and draw inferences at 5% significance level. Please state the assumptions and tests that you carried out to check validit…

Εxercises for Data Analysis course in Faculty of Engineering of Aristotle's University of Thessaloniki

Portfolio of statistics models, inferential statistics and different topics usign R and python.

Assignment-Simple-Linear-Regression-1. Q1) Delivery_time -> Predict delivery time using sorting time. Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization, Feature Engineering, Correlation Analysis, Model Building.

Machine Learning Project

To compute and plot significances (pvalues and asterisks) on bar graphs

Probability and Statistics in Data Science using Python

P value histogram explorer shiny app

p hacker

Analyze A/B Test Results - Data Analyst Nanodegree with Udacity

Multiple Regression model building with Sklearn and statsmodels and analysis of relevant predictors using P-values and VIF

Multiple Linear Regression Dataset Name - 50_startups data.

Live session poll done to conduct simple random sampling and hypothesis testing