spearman

In this repository, four famous correlation algorithms have been implemented. Pearson, spearman, Chatterjee, and MIC correlation algorithm implemented

correlation pearson mic correlation-coefficient pearson-correlation correlation-analysis spearman chatterjee pearson-correlation-coefficient spearman-rank-correlation spearman-correlation-coefficient chatterjee-correlation mic-correlation maximal-information-coefficient

UpdatedAug 8, 2022
Jupyter Notebook

lastralab /Statistics

Star4

Retrieving, Processing, and Visualizing Data with Python

python statistics math graph mean t-test probability-distribution retreiving-data scipy variance matplotlib pearson anova visualize-data measures-of-central-tendency lastra-lab z-score inferencial spearman t-statistic

UpdatedMay 1, 2018
Python

RUB-SysSec /Password-Strength-Meter-Accuracy

Star4

Measuring the Accuracy of Password Strength Meters

correlation selenium meter strength zxcvbn passwords spearman

UpdatedDec 20, 2023
Python

dimi-fn /Emotion-Recognition-in-Movie-Abstracts

Star3

Original dissertation title: "Extract Emotional Tags from Movie Synopses". The identification, definition, and automatic prediction of a set of emotions in movies, based on their movie abstracts and various metadata.

data-science machine-learning natural-language-processing statistics movies correlation deep-learning sentiment-analysis data-visualization named-entity-recognition api-wrapper topic-modeling convolutional-neural-networks labelling emotion-recognition lstm-neural-network emotion-classification spearman emotional-tags movie-plots

UpdatedFeb 21, 2024
Jupyter Notebook

ZubinGou /SGNS-PyTorch

Star2

SkipGram NegativeSampling implemented in PyTorch.

word2vec word-embeddings pytorch skipgram word-similarity spearman negative-sampling subsampling sgns

UpdatedMar 13, 2021
Python

CIAT /Descriptives-in-R

Star1

This repository contains simple statistical R codes used to describe a dataset. These scripts provide a summarized and easy way of estimating the mean, median, mode, skewness and kurtosis of data. It also provides codes for calculating the covariance.

mean range mode minimum maximum covariance median pearson-coefficient skewness spearman kurtosis kendall hmisc e1071

UpdatedJun 29, 2020
R

rishanki /correlation-matrix_Pyspark_RDD

Star1

python correlation rdd pyspark-notebook pyspark-tutorial spearman pyspark-mllib

UpdatedJan 29, 2018
Jupyter Notebook

QuantumQu /CorrelationCoeffsVba

Star0

Implementation of Spearman and Kendall correlation coefficient for MS Excel (VBA)

correlation bubble-sort kendall-tau spearman kendall spearman-rank-correlation

UpdatedSep 30, 2022
VBA

niveditapatel /mathcodes

Star0

This repository contains the codes of mathematical and statistical methods like Interpolation, Guass Jacobi, Guass Jordan, etc. that I coded in C as a part of course MA403 Probability, Statistics, and Numerical Analysis.

c statistics polynomials newtonraphson interpolation-methods guassian-processes spearman

UpdatedAug 31, 2020
C

fanevule /sac-tool

Star0

sac project tool

nodejs rust math pearson n-api spearman

UpdatedMar 25, 2024
Rust

ctesta01 /spearman_1904

Star0

Spearman's 1904 work on 'General Intelligence' launched the field of factor analysis into existence. This slide-deck discusses the details and aftermath.

statistics factor-analysis presentation-slides spearman quarto

UpdatedFeb 27, 2024
HTML

kivanc57 /feature_comparison

Star0

This project explores the relationship between features and diagnosis in cancer data. Using methods like boxplots, scatterplots, PCA, k-means clustering, and logistic regression, we analyze and visualize data to understand health indicators.

data-science r correlation clustering data-visualization scatter-plot descriptive-statistics boxplot pearson-correlation spearman explanatory-data-analysis