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
Statistics in Python: Jupyter Notebook Collection. You can find the details on Statistics and application to the machine learning algorithm at following link:
Analyze ab test results udacity project
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.
Probability and Statistics topics
A collection of Statistics and ML notebooks useful for Graduate Students
This repository contains introductory notebooks for basic hypothesis testing problems.
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…
A notebook on Employee Survey using statistical techniques and visualizations to uncover trends and insights int
This project was composed using LaTeX (Overleaf). Simulation design and analysis was done using (Python Jupyter notebook).
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.
Notebooks and Assignments of "Introduction to Data Science with Python" course offered by Coursera and University of Michigen
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
Explore diverse datasets through statistical analysis. Jupyter notebooks and scripts uncover trends and insights. Contribute to the world of data exploration!
Explore parametric & non-parametric hypothesis tests in this Jupyter Notebook tutorial. Compare means, analyze variance & more with real-world examples! 📊✨
these are my projects that i submitted for AIML course with great lakes & some good notebooks with great explaination of the topics
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.
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