Python code for calculating Z-value from probability

Explored the dataset of a company that specializes in the reselling of used and refurbished devices. The objective of this project was to determine the future price of used phones and identify the factors that significantly influence them using a linear regression model with python

Credit Risk Modelling | Calculation of PD, LGD, EDA and EL with Machine Learning in Python

Statistics and tests: normal distribution, binomial test, chi2 test, t-test, p-value

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.

Estimation of the Shapiro-Wilk test using the Monte Carlo method.

Play bank data scientist and use regression discontinuity to see which debts are worth collecting.

Explore "Statistics" and "Probability Theory" Concepts and Their Implementations in "Python"

pMoSS (p-value Model using the Sample Size) is a Python code to model the p-value as an n-dependent function using Monte Carlo cross-validation. Exploits the dependence on the sample size to characterize the differences among groups of large datasets

Emotion Analysis with Transformers

Bootstrap p-values, including convenience functions for regression models.

Correspondence Analysis with python

This repository contains problems on hypothesis testing, confidence intervals, P-value, percentiles, skewness, histogram and more.

Hollywood movie analysis to identify the main driver of growth . We used a CSV file with over 45,000 films on which we performed data cleaning, data visualization, and statistical analysis.

Analyze A/B Test Results. For this project, you will be 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. Your goal is to work through this not

different types of regression

First rank winner in the Machine Learning Course Competition for class 2021-2022. Airline ticket price prediction from end to end (analysis - preprocessing - modeling - testing - deployment - documentation) between Indian cities

R script for LRT to p-value

Nonparametric P-Value Estimation for Predictors in Lasso

Used libraries and functions as follows:

Assignments made for the Machine Learning Course held at Ain Shams University [2021-2022]

A stastical analysis report using R.

collection of utility functions for correlation analysis

using hypothesis testing and regression to analyze data about the new feature in the application

Lean Six Sigma with Python — Kruskal Wallis Test

An example of how to calculate p-values from real-world experimental data using R and what they mean for statistical inference.

R programming and its application to data analysis and statistical methods

My second project from Udacity's data analysis advanced track, provided by FWD scholarship.

Statistical functions based on bootstrapping for computing confidence intervals and p-values comparing machine learning models and human readers

Learn how to use R and statistics in order to analyze vehicle data