General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Python notebooks for my graduate class on Detection, Estimation, and Learning. Intended for in-class demonstration. Notebooks illustrate a variety of concepts, from hypothesis testing to estimation to image denoising to Kalman filtering. Feel free to use or modify for your instruction or self-study.

General statistics and mathematical concept notebooks in Python

This R Studio Markdown aims to analyze data from 2020 of FBI's Hate Crime Statistics with various key parameters as control variables and defend hypotheses about hate crimes and bias motivation.

Analyze ab test results udacity project

Ryan's statistics notebooks

A collection of Statistics and ML notebooks useful for Graduate Students

This repository contains introductory notebooks for basic hypothesis testing problems.

Probability and Statistics topics

A/B tests are very commonly performed by data analysts and data scientists. It is important that you get some practice working with the difficulties of these. For this project, you will be working to understand the results of an A/B test run by an e-commerce website. Your goal is to work through this notebook to help the company understand if th…

Statistics in Python: Jupyter Notebook Collection. You can find the details on Statistics and application to the machine learning algorithm at following link:

these are my projects that i submitted for AIML course with great lakes & some good notebooks with great explaination of the topics

This project was composed using LaTeX (Overleaf). Simulation design and analysis was done using (Python Jupyter notebook).

Notebooks and Assignments of "Introduction to Data Science with Python" course offered by Coursera and University of Michigen

Explore diverse datasets through statistical analysis. Jupyter notebooks and scripts uncover trends and insights. Contribute to the world of data exploration!

A hub that contains notebooks that perform elementary descriptive statistics of populations and samples and demonstrates 3 hypothesis tests- Welch t-test, Correlation, and Chi-square test. It shows how to run them in python and understand the results

Analysis of Air Quality in India before and after COVID-19 lock down. Implemented using Python (Jupyter Notebook). *Complete project report contained in word document - SDS Project.docx

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.

For this project, I will be working to understand the results of an A/B test run by an e-commerce website. The goal is to work through this notebook to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.

A/B test run by an e-commerce website. The company has developed a new web page 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 notebook to help the company understand if they should implement this new page, keep the old page, or per…