correlation-analysis

There are 342 repositories under correlation-analysis topic.

  • correlation

    easystats/correlation

    :link: Methods for Correlation Analysis

    Language:R4371719456

  • josevcm/nfc-laboratory

    NFC signal and protocol analyzer using SDR receiver

    Language:C++425152150

  • 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”

    Language:Python43344

  • chgl16/data-mining-algorithm

    :bar_chart: 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

    Language:Python24107

  • rajtulluri/Olist-business-analysis

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

    Language:Jupyter Notebook162013

  • open-risk/correlationMatrix

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

    Language:Python13306

  • ckdckd145/statmanager-kr

    Open-source statistical package in Python based on Pandas

    Language:Python10234

  • jware-solutions/ggca

    Blazing fast Gene/GEM Correlation Analysis for Rust and Python

    Language:Rust10202

  • 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.

    Language:Jupyter Notebook91011

  • 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 (Walmart, ExxonMobil, Apple, Berkshire Hathaway Inc., and Amazon) by scraping the Tweets extracted from Twitter based on company hashtags and using the twitter intelligence tool – twint. Sentiment analysis is applied to the extracted tweets and a correlation is analyzed between stock market movements of a company and sentiments in tweets. Elaborately, news and tweets in social media about a company would encourage decision of people to invest or not in the stocks of that company and as a result, the stock price of that company would increase or fall. At the end of the paper, it is shown that a none or very weak correlation exists between the rise and fall in stock prices with the public sentiments in tweets

    Language:Jupyter Notebook7100

  • kmedian/korr

    collection of utility functions for correlation analysis

    Language:Python72113

  • mittelmark/snha

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

    Language:R6210

  • PARSA-MHMDI/correlation

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

    Language:Jupyter Notebook6100

  • vaitybharati/Assignment-05-Multiple-Linear-Regression-2

    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 years Marketing Spend -- spend on Marketing in the past few years State -- states from which data is collected Profit -- profit of each state in the past few years.

    Language:Jupyter Notebook5109

  • vaitybharati/Assignment-11-Text-Mining-01-Elon-Musk

    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 text. (Removes @usernames), Again Joining the list into one string/text, Remove Punctuation, Remove https or url within text, Converting into Text Tokens, Tokenization, Remove Stopwords, Normalize the data, Stemming (Optional), Lemmatization, Feature Extraction, Using BoW CountVectorizer, CountVectorizer with N-grams (Bigrams & Trigrams), TF-IDF Vectorizer, Generate Word Cloud, Named Entity Recognition (NER), Emotion Mining - Sentiment Analysis.

    Language:Jupyter Notebook5104

  • 0xd3lbow/Bitcoin-Rolling-Correlation

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

    Language:Python4100

  • 2004-ind/Correlation_Analysis

    Protecting portfolios using Correlation Diversification

    Language:Jupyter Notebook4301

  • abenton/MissingView-LasCCA

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

    Language:Python4201

  • IbrahimElzahaby/MSc_Thesis

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

    Language:R4100

  • jacksonwalters/scotus-v-public

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

    Language:Python43201

  • lkfink/pupilTutorial

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

    Language:HTML4102

  • Shahrukh2016/Play-store-review-analysis-EDA

    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.

    Language:Jupyter Notebook4100

  • Siddartha09/parkinsons_prediction

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

    Language:Jupyter Notebook4100

  • cpypasta/cods

    Correlation analysis between COVID-19 and causes of death.

    Language:R3101

  • Devanshi-Bavaria/Predictive-Modeling-for-Stock-Market-Trends

    📈 Comprehensive stock price analysis, including preprocessing, clustering, correlation, and predictive modeling, to enhance investment insights and accuracy. 💡

    Language:Jupyter Notebook3101

  • 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.

    Language:Jupyter Notebook3

  • RimTouny/Credit-Card-Fraud-Detection

    Focused on advancing credit card fraud detection, this project employs machine learning algorithms, including neural networks and decision trees, to enhance fraud prevention in the banking sector. It serves as the final project for a Data Science course at the University of Ottawa in 2023.

    Language:Jupyter Notebook3100

  • SBouchard01/CorrHOD

    A code that populates dark matter halos and computes correlation functions

    Language:Python3100

  • tezam84/Supervised_Project_Parkinson_disease

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

    Language:Jupyter Notebook3100

  • vaitybharati/Assignment-04-Simple-Linear-Regression-1

    Assignment-04-Simple-Linear-Regression-1. Q1) Delivery_time -> Predict delivery time using sorting time. 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, Feature Engineering, Correlation Analysis, Model Building, Model Testing and Model Predictions using simple linear regression.

    Language:Jupyter Notebook3106

  • vaitybharati/Assignment-05-Multiple-Linear-Regression-1

    Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.

    Language:Jupyter Notebook3103

  • vaitybharati/P23.-EDA-1

    EDA (Exploratory Data Analysis) -1: Loading the Datasets, Data type conversions,Removing duplicate entries, Dropping the column, Renaming the column, Outlier Detection, Missing Values and Imputation (Numerical and Categorical), Scatter plot and Correlation analysis, Transformations, Automatic EDA Methods (Pandas Profiling and Sweetviz).

    Language:Jupyter Notebook3101

  • vaitybharati/P24.-Supervised-ML---Simple-Linear-Regression---Newspaper-data

    Supervised-ML---Simple-Linear-Regression---Newspaper-data. EDA and Visualization, Correlation Analysis, Model Building, Model Testing, Model predictions.

    Language:Jupyter Notebook310

  • vaitybharati/P27.-Supervised-ML---Multiple-Linear-Regression---Toyoto-Cars

    Supervised-ML---Multiple-Linear-Regression---Toyota-Cars. EDA, Correlation Analysis, Model Building, Model Testing, Model Validation Techniques, Collinearity Problem Check, Residual Analysis, Model Deletion Diagnostics (checking Outliers or Influencers) Two Techniques : 1. Cook's Distance & 2. Leverage value, Improving the Model, Model - Re-build, Re-check and Re-improve - 2, Model - Re-build, Re-check and Re-improve - 3, Final Model, Model Predictions.

    Language:Jupyter Notebook310

  • Mindful-AI-Assistants/MovieRevenueAnalysis

    🎬💰 Analyze movie companies' revenue, release strategies, and financial performance using statistical techniques for actionable insights. This project explores data on total revenue, number of releases, and lifetime gross to uncover patterns that can drive strategic decisions in the film industry.

    Language:Jupyter Notebook21

  • zelosleone/FinnCorr

    A .NET Core financial analysis tool/API for calculating correlations between time series data with interactive visualizations powered by ML.NET and Plotly.js.

    Language:C#2