NFC signal and protocol analyzer using SDR receiver

• UpdatedNov 29, 2025
• C++

🔗 Methods for Correlation Analysis

• UpdatedNov 19, 2025
• R

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”

• UpdatedFeb 17, 2023
• Python

📊 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

• UpdatedJun 16, 2019
• Python

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

• UpdatedDec 8, 2022
• Jupyter Notebook

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.

• UpdatedNov 11, 2025
• Python

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

• UpdatedDec 17, 2024
• Python

Blazing fast Gene/GEM Correlation Analysis for Rust and Python

• UpdatedSep 15, 2024
• Rust

Analyze financial news sentiment and its correlation with stock market movements. Use NLP, sentiment analysis, and financial analytics to uncover insights for enhanced financial forecasting and innovative investment strategies.

• UpdatedMay 22, 2025
• Jupyter Notebook

Open-source statistical package in Python based on Pandas

• UpdatedOct 18, 2024
• Python

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.

• UpdatedMay 30, 2021
• Jupyter Notebook

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…

• UpdatedAug 28, 2020
• Jupyter Notebook

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

• UpdatedOct 8, 2024
• Python

collection of utility functions for correlation analysis

• UpdatedJun 19, 2022
• Python

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

• UpdatedAug 8, 2022
• Jupyter Notebook

Time-Series Modeling of Bitcoin for Equities, Commodities & Forex Markets

• UpdatedJul 19, 2023
• Python

A code tutorial to accompanyhttps://link.springer.com/article/10.3758/s13428-023-02098-1

• UpdatedSep 17, 2024
• HTML

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

• UpdatedNov 26, 2024
• Jupyter Notebook

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

• UpdatedNov 27, 2024
• Jupyter Notebook

St. Nicolas House Algorithm implementation in R - predicting correlation networks using association chains

• UpdatedJul 15, 2024
• R