t-test

Marketing Campaigns A/B Testing on Jupyter Notebook

With this Python notebook algorithm, you can use SPSS Model notebook to build machine learning pipelines that you can use to iterate rapidly during the model building process in data analysis. Whether you're trying to find the right algorithm or experimenting with different ways of preparing your data, you can create reproducible research that's…

This repository contains introductory notebooks for basic hypothesis testing problems.

Marketing Campaigns analysis using A/B Testing on 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.

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.

This README summarizes a collection of Jupyter notebooks that demonstrate core statistical concepts, data analysis techniques, and Python programming proficiency. Each notebook combines theoretical explanations with practical Python implementations to showcase hypothesis testing, probability distributions, and data transformations.