🔗 Methods for Correlation Analysis
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Updated
Jul 1, 2024 - R
🔗 Methods for Correlation Analysis
Spearman's 1904 work on 'General Intelligence' launched the field of factor analysis into existence. This slide-deck discusses the details and aftermath.
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.
Implementation of Spearman and Kendall correlation coefficient for MS Excel (VBA)
In this repository, four famous correlation algorithms have been implemented. Pearson, spearman, Chatterjee, and MIC correlation algorithm implemented
collection of utility functions for correlation analysis
A toolkit for estimating the correlation between variables
SkipGram NegativeSampling implemented in PyTorch.
Dict2vec is a framework to learn word embeddings using lexical dictionaries.
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.
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.
Predicting long-term and short-term Video Memorability using Semantic and Video features.
Retrieving, Processing, and Visualizing Data with Python
Analysis of two variables by nonparametric method
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