A JavaScript library to allocate and optimize financial portfolios.

Network Analysis for Financial Markets

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

📊🎨 Nice looking financial chart examples.

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.

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

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

Car Price Prediction

Package for the simulation of random correlation matrix

collection of utility functions for correlation analysis

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

Credit Card Fraud Detection using Random Forest Algorithm

function might come in handy

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…

This repository contains codes, datasets, results, and reports of a machine learning project on air quality prediction.

This project develops an activity recognition model for a mobile fitness app using statistical analysis and machine learning. By processing smartphone sensor data, it extracts features to train models that accurately recognize user activities.

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

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

Multi-Linear-Reg