Machine learning for beginner(Data Science enthusiast)

Case Studies and Projects in Machine Learning/EDA/DL

A friendly, automated chi-square test function which takes care of post-hoc tests and multiple comparisons.

A 30+ node flowchart for selecting the right statistical test for evaluating experimental data.

Chi-Squared For Feature Selection using SelectKBest

This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD).

"A set of Jupyter Notebooks on feature selection methods in Python for machine learning. It covers techniques like constant feature removal, correlation analysis, information gain, chi-square testing, univariate selection, and feature importance, with datasets included for practical application.

This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD) with MRI data.

about statistical techniques for Data Science

Polycystic Ovary Syndrome (PCOS) is a widespread pathology that affects many aspects of women's health, with long-term consequences beyond the reproductive age. The wide variety of clinical referrals, as well as the lack of internationally accepted diagnostic procedures, have had a significant impact on making it difficult to determine the exact…

Wesleyan University

Lean Six Sigma with Python — Chi-Squared Test

Shiny interface for growth model fit

All type of calculators like Cuboid (4D), Binning, Chi-square test, Red-black tree, Binary search tree, Longest Common Sub Sequence, Master Theorm, Heap Sort, Decision Theory at one place ✨

The code build a correlation like heat but using chi-square test for catagorical variables. Python and R have built in libraries for producing heatmap for correlation test but there is no such library to produce heat map for chi-square test of association.

Adapted chi-squared and CMH test to evolve and resequenced data. Includes drift and pool sequencing variance in the tests

Package provides python implementation of statistical inference engine

a simple shiny app that perform statistical tests such as normal test, t-test, and chi-square test

Notes on statistical inference made for learning statistics for data scientists