🔗 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

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…

Open-source statistical package in Python based on Pandas

collection of utility functions for correlation analysis

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

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 …

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

Blazing fast Gene/GEM Correlation Analysis for Rust and Python

Capstone project for The Data Incubator ('18). Plots SCOTUS vs. public opinion polarity over time given keywords.

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

Protecting portfolios using Correlation Diversification

Scalable code to solve SUMCOR Generalized CCA problem with missing views.

Exploring Google Play Store apps dataset to identify key factors for app engagement and success, revealing correlations between reviews, installs, categories, ratings, and user preferences.

Supervised Machine Learning project with KNN, decision tree, random forest and adaboost algorithms