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.

📊🎨 Nice looking financial chart examples.

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

collection of utility functions for correlation analysis

Car Price Prediction

Package for the simulation of random correlation matrix

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

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

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

Multi-Linear-Reg

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

ТурбоХакатон на платформе codenrock.com (DBSCAN, seaborn, matplotlib)

There are implemented some data mining and data processing algorithms over the NYC yellow taxies dataset, which have been provided in Kaggle.

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