Machine learning for beginner(Data Science enthusiast)

Case Studies and Projects in Machine Learning/EDA/DL

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

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

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

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.

Chi-Squared For Feature Selection using SelectKBest

"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.

about statistical techniques for Data Science

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.

Wesleyan University

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…

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

Lean Six Sigma with Python — Chi-Squared Test

Shiny interface for growth model fit

Examples of using the test statistics to test hypotheses

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 ✨

Notes on statistical inference made for learning statistics for data scientists

[Survival Analytics] Working with Dr. Surbhi Grover MD, MPH evaluating survival outcomes, treatment, and survivorship for a cervical cancer cohort with or without HIV co-infection in Botswana, Africa using methods rooted in statistics.