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.

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).

Wesleyan University

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

[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.

Package provides python implementation of statistical inference engine

In this notebook, I applied statistical methods for imbalanced data analysis. In terms of basics, it starts with null check, data description and handling missing values. There exists right skewness in data for numerical columns. Shapiro-Wilk and Anderson darling tests are applied to prove that data is not distributed normally. Outlier detection…

about statistical techniques for Data Science

Chi-Square-test

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.

People Analytics Project on Factors affecting Employees Performance during Covid-19

Stats HW chat bot that solves chi-square problems involving goodness of fit, homogeneity, or independence

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…

Implementing Unif(0,1) Pseudo Random Generators & performing Statistical Tests on them

This repository Includes Data Analysis of Engineering Colleges of India, Data Analysis of a Sports Facility using SQL, Data Analysis of Financial market Data using Quandle API. Skills used in this project are Requests Library, Data wrangling, Data Analysis of GSS(Global Social Survey) dataset using R and Hypothesis Test(Chi - Squared Test) and D…

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