🔗 Methods for Correlation Analysis

NFC signal and protocol analyzer using SDR receiver

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”

📊 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

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

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

Blazing fast Gene/GEM Correlation Analysis for Rust and Python

Open-source statistical package in Python based on Pandas

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.

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…

collection of utility functions for correlation analysis

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

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

Assignment-11-Text-Mining-01-Elon-Musk, Perform sentimental analysis on the Elon-musk tweets (Exlon-musk.csv), Text Preprocessing: remove both the leading and the trailing characters, removes empty strings, because they are considered in Python as False, Joining the list into one string/text, Remove Twitter username handles from a given twitter …

Assignment-05-Multiple-Linear-Regression-2. Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few y…

Computational protemics analysis of cancer cell-lines at the level of single-cells

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

Protecting portfolios using Correlation Diversification

This repo is an attempt to diagnose Parkinson's disease using voice measurements of patients using machine learning algorithms.

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