correlation-analysis 开源项目推荐（710 个）

josevcm /nfc-laboratory

使用SDR接收器的NFC信号和协议分析仪

easystats /correlation

🔗 Methods for Correlation Analysis

Syed-Imran88 /MT5-Exposure-Mesh-Analyzer

Best Multi-Asset Correlation Heatmap & Risk Matrix for MetaTrader 2026

ddz16 /Preformer

This repository contains the pytorch code for the 2023 ICASSP paper "Preformer: Predictive Transformer with Multi-Scale Segment-wise Correlations for Long-Term Time Series Forecasting”

husainm97 /quant-lab-alpha

Open-source investment analytics platform bridging academic research and retail finance. Features include portfolio risk decomposition [Fama-French Five Factor Model], retirement sustainability modeling [Block Bootstrap Monte Carlo], max drawdown/CVaR dashboards, and risk-return optimisation [Markowitz, Ledoit-Wolf] via an intuitive user interface.

rajtulluri /Olist-business-analysis

A detialed analysis on the customers, products, orders and shipments of the Brazilian E-commerce giant Olist.

chgl16 /data-mining-algorithm

📊 数据挖掘常用算法：关联分析Apriori算法，数据分类决策树算法，数据聚类K-means算法

AmirhosseinHonardoust /Synthetic-Data-Artist

A professional, research-grade comparison of Gaussian Copula and Variational Autoencoder (VAE) methods for synthetic tabular data generation. Includes full evaluation pipeline with distribution overlap, correlation analysis, PCA projections, pairplots, metrics, and automated visual reports.

dagiteferi /Financial-News-Sentiment-Stock-Market-Correlation-Analysis

分析金融新闻情绪及其与股市走势的相关性。运用自然语言处理、情绪分析和财务分析，发掘洞察，提升财务预测和创新投资策略。

open-risk /correlationMatrix

correlationMatrix is a Python powered library for the statistical analysis and visualization of correlations

TripleHelixProgramming /wpilog-mcp

Conversational FRC telemetry analysis with built-in guardrails against LLM overconfidence. MCP server for WPILib and REV logs.

Septemc /CGTST-CausalGate

以化学工业反应为例的因果门控时间序列神经网络 / Causal gated time series neural network based on chemical industry reaction

FirasKahlaoui /pca-insights

PCA Insights is a data analysis project aimed at applying Principal Component Analysis (PCA) to high-dimensional datasets for dimensionality reduction, visualization, and exploration.

vaitybharati /Assignment-04-Simple-Linear-Regression-2

Assignment-04-Simple-Linear-Regression-2. Q2) Salary_hike -> Build a prediction model for Salary_hike Build a simple linear regression model by performing EDA and do necessary transformations and select the best model using R or Python. EDA and Data Visualization. Correlation Analysis. Model Building. Model Testing. Model Predictions.

ckdckd145 /statmanager-kr

Open-source statistical package in Python based on Pandas

jware-solutions /ggca

Blazing fast Gene/GEM Correlation Analysis for Rust and Python

farzadasgari /explx

该项目在 GitHub 上没有填写描述

DivyaDevaprasad /Twitter_and_StockPrice_sem2

Twitter is an online social networking service with over 300 million monthly active users. This enormous amount of data available on social media platforms can be extracted and analyzed for various purposes. In this paper, we aim to investigate the relationship between sentiment analysis of Twitter data and stock market prices for five companies…

pavankethavath /Microsoft-Classifying-Cybersecurity-Incidents-with-ML

A machine learning pipeline for classifying cybersecurity incidents as True Positive(TP), Benign Positive(BP), or False Positive(FP) using the Microsoft GUIDE dataset. Features advanced preprocessing, XGBoost optimization, SMOTE, SHAP analysis, and deployment-ready models. Tools: Python, scikit-learn, XGBoost, LightGBM, SHAP and imbalanced-learn

Marc-Moeller /ranking-factor-analyzer

Correlate 113 ranking factors against Google SERP position and grade your page on the same axes. AGPL-3.0, bring your own keys.