This project was done as a part of Udacity's Data Analyst Nanodegree program in which AB-Testing is performed for the users under treatment and control groups to predict whether changes should be done for an website or it is ideal to keep the existing one, based on the performance of old and new pages. Hypothesis testing, z-test, and Logistic Re…

Scientific Comparison of Algorithms

Example of Proportion Z-Test for A/B Testing in Python

My first classification problem solved with logistic regression.

Homeworks and R projects for the course Foundations of Data Science

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.

Analysis of Romantic Relationships using Statistical Modeling

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.

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.

Python in Data Science

Continuation to Data Analysis using more mathematical approach.

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.

Implementation of some r programs using R studio.

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).

Checking AB test results

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

This repository is created for storing the components of Statistical Tests of One Pop, Two Pops and Three or more pops using Python.

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