A JavaScript library to allocate and optimize financial portfolios.

Examples and demos showing how to call functions from the NAG Library for Python

Network Analysis for Financial Markets

Different modeling techniques like multiple linear regression, decision tree, and random forest, etc. will be used for predicting the concrete compressive strength. A comparative analysis will be performed to identify the best model for our prediction in terms of accuracy. The best model will be helpful for civil engineers in choosing the approp…

Implementation of SVM Classifier To Perform Classification on the dataset of Breast Cancer Wisconin; to predict if the tumor is cancer or not.

This package focuses on the tasks of dealing with outlier and missing values, scaling, and correlation visualization.

📊🎨 Nice looking financial chart examples.

collection of utility functions for correlation analysis

Package for the simulation of random correlation matrix

Car Price Prediction

A bayesian approach to examining default mode network functional connectivity and cognitive performance in major depressive disorder

A MATLAB library designed to help fMRI block-based studies construct word lists for experiments, ensuring minimal correlation between words. This library provides methods for adjusting word list length and offers flexibility for user customization.

Prediction of Miles per gallon (MPG) Using Cars Dataset

Random forest ML model for phishing website detection

Implementation of the correlation matrix estimator using shrinkage technique with clustering.

Multi-Linear-Reg

Analyze data from bike sharing services to identify usage patterns. Implement visual analysis, hypothesis testing, and time series analysis

Compute multiple types of correlations analysis (Pearson correlation, R^2 coefficient of linear regression, Cramer's V measure of association, Distance Correlation,The Maximal Information Coefficient, Uncertainty coefficient and Predictive Power Score) in large dataframes with mixed columns classes(integer, numeric, factor and character) in para…

📊 A financial correlations library for Elixir, fully compatible with the elixir Decimal library.

A Novel Methodology of Domain Wise feature selection approach which is capable of identifying the interrelationships by focusing on Domain-Wise feature selection. It ensures that correlated and similar features are considered together by grouping them in similar domains based on correlation values