normality

miamib34ch/HSE-MathematicalMethods-Of-DataAnalysis

Learning mathematical methods of data analysis in the language R.

msikma/denormalize

Library for processing and extracting assets for the 3D/ADV engine

PervezSH/ml-notebooks

A series of Jupyter notebooks, to know about Machine Learning, its implementation, and identifying its best practices.

achyuta26/Kernels

Kernels for machine learning problems

gitakartika/regression-model-selection

Determined the best regression model which represents the data

johnbrendanowens/Chi-Square-Tests-Confidence-Intervals-Kolmogorov-Smirnov-Tests-and-Shapiro-Wilk-Normality-Tests

This is a homework I did in the Spring 2017. It involves conducting Chi Square Tests, Confidence Intervals, Kolmogorov-Smirnov Tests, and Shapiro-Wilk Normality Tests. It has problem numbers that are associated to problems in "Using R: Introductory Statistics".

johnbrendanowens/Statistical-Testing

This a project I did in the Spring of 2017 for the graduate course of Statistical Computing. This project includes T-Tests, Non-parametric Tests, Linear Regressions, Correlation Tests, Chi Square Tests, and tests for normality. This project also includes some basic graphing.

Shalini-cmd/Statistics-Exploration-Reasoning

All my R code used for statistical analyses - Hypothesis Testing, t-tests, etc.

daksh-intwala/Naive-Bayes-Classifier_with_Normality_Tests

Gaussian Navie Bayes Classifier was applied on IRIS dataset. Different types of normality tests were used to introduce the normality concepts.

guhjy/bestNormalize

Estimate a suite of normalizing transformations, including a new adaptation of a technique based on ranks which can guarantee normally distributed transformed data if there are no ties: ordered quantile normalization (ORQ).

guhjy/causalXtreme

An R package for causal discovery in heavy-tailed models

guhjy/MultivariateNormalDistribution

guhjy/ngme

Linear Mixed-Effects Models for Non-Gaussian Repeated Measurement Data

RACHEL-LEIGH/Descriptive-Stats-Normality