Feature Selection using Metaheuristics Made Easy: Open Source MAFESE Library in Python

Pearson correlation coefficient calculator

The given information of network connection, model predicts if connection has some intrusion or not. Binary classification for good and bad type of the connection further converting to multi-class classification and most prominent is feature importance analysis.

"A set of Jupyter Notebooks on feature selection methods in Python for machine learning. It covers techniques like constant feature removal, correlation analysis, information gain, chi-square testing, univariate selection, and feature importance, with datasets included for practical application.

A basic Java GUI application built with Netbeans, which is able to filter values imported from a CSV file (with a search query from the user) and find the Pearson's Correlation Coefficient from 2 columns of numerical values (the columns which are selected are hardcoded). The correlation coefficient is presented numerically with the option to vie…

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

A program that will return the Pearson correlation coefficient of the stocks entered. One coefficient is returned for each possible pair. The program will plot a heat map and will return a CSV file containing the correlation of each possible stock pair.

Calculating the Pearson Correlation Coefficient for big data

Movie Recommendation System with the data from MovieLens

Exploring correlations in an isobaric labeling mass spectrometry-based proteomic data set

This repository contains the solutions to HackerRank's 10 Days of Statistics.

Projects of Machine learning and Deep learning

SUTD ISTD 2021 50.034 Introduction to Probability & Statistics 1D Project

10 Days of Statistics Hackerrank Solutions

In this project is a programming assignment wherein you have to build a multiple linear regression model for the prediction of demand for shared bikes. You will need to submit a Jupyter notebook for the same.

This package contains functions to find similarities between arrays

Social Choice Mechanisms for Recommender Systems. A report of the work is included that describes the project

Pharmaceutical analysis utilizing Python, Pandas, & Matplotlib. Generate summary statistics, create bar charts, scatter plots, and calculate correlation and regression.