Topic: "correlation-analysis"
josevcm/nfc-laboratory
NFC signal and protocol analyzer using SDR receiver
Language: C++ - Size: 88.8 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 461 - Forks: 52
easystats/correlation
:link: Methods for Correlation Analysis
Language: R - Size: 159 MB - Last synced at: 8 days ago - Pushed at: 17 days ago - Stars: 440 - Forks: 57
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: Python - Size: 522 KB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 45 - Forks: 5
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: Python - Size: 8.79 KB - Last synced at: about 2 months ago - Pushed at: about 6 years ago - Stars: 25 - Forks: 7
open-risk/correlationMatrix
correlationMatrix is a Python powered library for the statistical analysis and visualization of correlations
Language: Python - Size: 8.01 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 14 - Forks: 6
ckdckd145/statmanager-kr
Open-source statistical package in Python based on Pandas
Language: Python - Size: 4.59 MB - Last synced at: 3 days ago - Pushed at: 9 months ago - Stars: 10 - Forks: 4
jware-solutions/ggca
Blazing fast Gene/GEM Correlation Analysis for Rust and Python
Language: Rust - Size: 11.6 MB - Last synced at: 8 months ago - Pushed at: 10 months ago - Stars: 10 - Forks: 2
rajtulluri/Olist-business-analysis
A detialed analysis on the customers, products, orders and shipments of the Brazilian E-commerce giant Olist.
Language: Jupyter Notebook - Size: 85.6 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 6
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 Notebook - Size: 45.9 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 8 - Forks: 9
kmedian/korr
collection of utility functions for correlation analysis
Language: Python - Size: 1.77 MB - Last synced at: 13 days ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 3
mittelmark/snha
St. Nicolas House Algorithm implementation in R - predicting correlation networks using association chains
Language: R - Size: 161 KB - Last synced at: about 2 months ago - Pushed at: 12 months ago - Stars: 6 - Forks: 0
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 Notebook - Size: 558 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 5 - Forks: 0
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 Notebook - Size: 1.34 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 3
dagiteferi/Financial-News-Sentiment-Stock-Market-Correlation-Analysis
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.
Language: Jupyter Notebook - Size: 4.41 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 0
jacksonwalters/scotus-v-public
Capstone project for The Data Incubator ('18). Plots SCOTUS vs. public opinion polarity over time given keywords.
Language: Python - Size: 62.4 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 1
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
Language: Jupyter Notebook - Size: 4.54 MB - Last synced at: 23 days ago - Pushed at: 7 months ago - Stars: 4 - Forks: 0
lkfink/pupilTutorial
A code tutorial to accompany https://link.springer.com/article/10.3758/s13428-023-02098-1
Language: HTML - Size: 34 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 4 - Forks: 2
abenton/MissingView-LasCCA
Scalable code to solve SUMCOR Generalized CCA problem with missing views.
Language: Python - Size: 22.8 MB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 4 - Forks: 1
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 Notebook - Size: 1.22 MB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 3 - Forks: 1
cpypasta/cods
Correlation analysis between COVID-19 and causes of death.
Language: R - Size: 1.59 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1
Siddartha09/parkinsons_prediction
This repo is an attempt to diagnose Parkinson's disease using voice measurements of patients using machine learning algorithms.
Language: Jupyter Notebook - Size: 5.43 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0
2004-ind/Correlation_Analysis
Protecting portfolios using Correlation Diversification
Language: Jupyter Notebook - Size: 20.2 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 1
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 Notebook - Size: 2.32 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 2
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 Notebook - Size: 43 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 3 - Forks: 6
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 Notebook - Size: 12.1 MB - Last synced at: 4 days ago - Pushed at: 21 days ago - Stars: 2 - Forks: 1
Quantum-Software-Development/Integrated-Project-for-Business
Integrated Project for Business
Language: Jupyter Notebook - Size: 24.8 MB - Last synced at: 27 days ago - Pushed at: 28 days ago - Stars: 2 - Forks: 0
Buddhi19/DevisingPoPStat
Devising PoPStat: A metric bridging population pyramids with global disease mortality
Language: Python - Size: 39.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0
Loop3D/litho2strat
A statistical framework for estimation of local stratigraphy with uncertainty from drillhole lithology data.
Language: Python - Size: 5.11 MB - Last synced at: 3 days ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0
sushant1827/Credit-Card-Fraud-Detection
Demonstrates the use of ML for Anomaly Detection for Credit Card Transactions: Identifying Fraudulent Activity using Imbalanced Data
Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0
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# - Size: 19.5 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0
zrkhadija/Data-Analysis-for-Financial-Time-Series
In this notebook, we performed data analysis on financial time series data from Yahoo Finance for the US market. We examined seasonality, trends, stationarity, and other aspects such as outliers and correlations.
Language: Jupyter Notebook - Size: 473 KB - Last synced at: 29 days ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0
VanHes1ng/Correlation-Trend
Correlation Trend Application This Streamlit-based web application allows users to analyze the correlation trends of the top 10 cryptocurrencies in relation to Bitcoin (BTC) and visualize these trends in a table.
Language: Python - Size: 713 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 2 - Forks: 0
galenseilis/ConAction
A package for studying how things change together.
Language: Python - Size: 97.7 MB - Last synced at: 1 day ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0
SBouchard01/CorrHOD
A code that populates dark matter halos and computes correlation functions
Language: Python - Size: 3.59 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0
liekevandehaar/Dev_Hb_mouse
Transcriptomic analysis of the developing mouse habenula
Language: Jupyter Notebook - Size: 57.4 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
Masihsoniya/House-price-prediction
Predicting house price
Language: Jupyter Notebook - Size: 211 KB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
Iron486/Country_data_clustering
Categorization of world countries using socio-economic and health factors
Language: HTML - Size: 65.2 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0
sqWa/Correlation-Analysis
Analyze different types of correlations between parameters.
Language: Python - Size: 237 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0
MoinDalvs/Learn_EDA_for_Data_Science
Univariate, Bivariate and Multi-variate Analysis
Language: Jupyter Notebook - Size: 443 KB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
Hadi2525/applied_ML
This is a brief summary of my past ML self projects
Language: Jupyter Notebook - Size: 82.9 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0
griffinbran/Real-Estate-Statistical-Modeling
Predictive analysis, with feature engineering, and machine learning (ML) algorithms, such as linear regression, applied to predict the final sale price of homes in Ames, IA from 2006-2010.
Language: Jupyter Notebook - Size: 18 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0
susanachambel/AnomalyDetectionInWaterDistributionNetworks
Source code used to support the Master's thesis "Descriptive and Predictive Modeling of Water Distribution Network Dynamics using Multivariate Time Series Data"
Language: Python - Size: 7.4 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0
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 Notebook - Size: 3.54 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0
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 Notebook - Size: 669 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 9
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 Notebook - Size: 196 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0
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 Notebook - Size: 215 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 1
zangzelin/Correlation-Analysis-between-Consumer-Price-Index-and-Service-Price-Index
This project uses the statistical data of Hebei Province from 2011 to 2017 to analyze the consumer consumption index and the service price index and the consumer price index. Using python3.6 as a development tool, the correlation coefficient is calculated on a monthly basis, and the correlation curve is drawn.
Language: Python - Size: 6.04 MB - Last synced at: about 1 year ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 2
jumping2000/Quants
Financial Quantitative Analysis
Language: Jupyter Notebook - Size: 7.93 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
Shivi2599/Student_Performance_Factors_Kaggle
As a data analyst with strong attention to detail and curiosity, my goal for this project was to dive deep into the dataset and uncover meaningful insights into the factors influencing student performance.
Language: Jupyter Notebook - Size: 1.7 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0
Katyayani09/medicare_campaigns_marketmixmodels
This repository explores Market Mix Modeling to analyze the causal impact of marketing strategies on sales performance using statistical analysis and OLS regression. It helps businesses optimize campaign investments by distinguishing causation from correlation.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0
sushant1827/LSTM_for_Household_Power_Consumption
This project explores the application of Long Short-Term Memory (LSTM) networks in predicting household power consumption. Using data collected at one-minute intervals, we demonstrate how LSTM can be leveraged for accurate forecasting.
Language: Jupyter Notebook - Size: 5.32 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
Ashfinn/Diarrhea-Prediction-Model
This research project analyzes the relationship between environmental factors and diarrheal disease incidence across four major divisions in Bangladesh.
Language: Jupyter Notebook - Size: 12.7 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
edlansiaux/muinther
R package to compute Pearson correlation and mutual information theory outputs for multiple variables association study. Final outputs include a Pearson contingence heatmap, a theory information entropy outputs table and a theory information entropy heatmap.
Language: R - Size: 2.04 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0
IsolatedSingularity/FRB-Tunneling
Scintillation and decorrelation statistics of fast radio bursts and black-white hole tunneling events in quantum cosmology.
Language: Python - Size: 70.7 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 1
tedoaba/KAIM-W1
Predictive Analytics through Sentiment and Correlation Analysis
Language: Jupyter Notebook - Size: 1.93 MB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0
Onome-Joseph/Recommender-system-for-Games
This project is designed to suggest games to users based on the games they recently played. By leveraging a correlation-based algorithm, the system identifies and recommends games that align with the user's preferences.
Language: Jupyter Notebook - Size: 217 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0
rosaaestrada/MentalHealth-Age-Analysis
Pearson's Chi-square, Analysis of Variance (ANOVA), and Correlation Matrix to analyze the relationship between mental health and age.
Language: Jupyter Notebook - Size: 67.1 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0
mahnoorsheikh16/Estimating-Aggregate-Import-Demand-Function
To test whether the economic theory for imports, real GDP and relative prices holds in real life scenario, this study analyses the extent of association between the variables through regression analysis. The paper can be used to assess the difference in impact of global events on GDP and import volume.
Size: 459 KB - Last synced at: about 1 month ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0
Mahsa-Ehsanifard/WGCNA
Weighted Gene Co-expression Network Analysis;
Language: R - Size: 10.3 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
fardinabbasi/Image_Processing
Implementation of a 2D correlation method for locating an electrical element (BA3240) on a PCB.
Language: MATLAB - Size: 2.17 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
TaschnerMandlGroup/MapMetSC
MAPping METastases in Neuroblastoma - spatially and temporally
Language: R - Size: 92.2 MB - Last synced at: 10 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
HaadiRazaTDK/Predictive-Modelling-for-Housing-Prices
Predictive modelling for Housing Prices using Random Forrest Regression
Language: Jupyter Notebook - Size: 3.21 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0
sanyachandnikhattar/HPVResearch
USC CURVE Fall 2023-Spring 2024 — Suen Lab, Sanya Chandni Khattar
Language: Python - Size: 577 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0
danielna70/pokemon_project
Data Science Assignment : Digitals Skill Fair 25.0 - Dibimbing.ID
Language: Jupyter Notebook - Size: 617 KB - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
SohhamSeal/Help-me-with-my-data
A website to help users view, verify and modify data for preprocessing and apply various classical ML algorrithms
Language: HTML - Size: 182 KB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
Praddysingh568/Prediction-of-Student-Alcoholism-and-Academic-Performance
This repository presents a study on predicting student alcoholism and academic performance using machine learning. By analyzing a dataset of student attributes, we develop models to forecast academic outcomes and alcohol usage.
Language: Jupyter Notebook - Size: 2.28 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
shikhararyan/Online-Payment-Fraud-Detection-Model-EDA-Classification
This project implements an online payment fraud detection system, combining exploratory data analysis (EDA) and classification using a decision tree classifier. The model achieves high accuracy in identifying fraudulent transactions, providing valuable insights for secure online transactions.
Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
KSwaviman/Cracking-The-Personality-Code-A-Behavioral-Research
Our study focused on using the Big Five personality inventory to predict traits from students' smartphone sensor data collected over 2 months under the Horizon Europe project. Through correlation analyses and machine learning with cross-validation, we showed that predictions are reliable and accurate enough for practical use.
Language: TeX - Size: 3.9 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
Jaswin-J/Terro-real-estate-agency
Finding out the most relevant features for pricing of a house
Size: 1.3 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
tendyzen/tendyzen.github.io
Repo for Manzano Analytics HTML website
Language: HTML - Size: 44.5 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
Francesco-Sovrano/Swiss-G2C-User-Guide-Analysis
Extensive analysis of user guides in Swiss government-to-citizen software, correlating guide features with canton socio-economic factors.
Language: Python - Size: 3.3 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
hafidaso/Comprehensive-Market-Analysis-of-Airbnb-Listings-Trends-Pricing-and-Host-Insights
This project conducts a thorough market analysis of Airbnb listings, encompassing various aspects such as market trends, property types, pricing, occupancy rates, host distribution, and regulatory impacts.
Language: HTML - Size: 4.69 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
MadhuBala11/DiabetesPrediction
In this project, I have used logistic regression, a supervised machine learning algorithm, to predict whether a person has diabetes or not based on various features such as age, blood pressure, glucose level, body mass index, etc. I have used Python and popular libraries such as Pandas, Scikit-Learn, and Matplotlib to perfom model building
Language: Jupyter Notebook - Size: 3.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
Mukul-kush/Bank-Marketing-Case-Study
Bank of Corporate Case Study
Size: 23 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
eismont21/correlation-discovery-seminar
A seminar paper on efficient correlation discovery in time-series streams, exploring global and local correlation detection methods.
Language: TeX - Size: 1.68 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
random-git/Drug-adverse-events-correlation
part of the analyses of paper "Investigating safety profiles of human papillomavirus vaccine across group differences using VAERS data and MedDRA."
Language: R - Size: 8.79 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
twguest/tiepy
Solutions to the Transport-of-Intensity Equation (Speckle-Tracking, Paganin Algorithm etc.,)
Language: Python - Size: 14.2 MB - Last synced at: 12 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
T3kan0/bootstrap_resample_with_replacement
A combination of codes developed for the calculation of the cross-correlation confidence intervals, making use of a pair of light-curves. The code conducts a bootstrap random sampling with replacement method to generate artificial light-curves. The code determines the cross-correlation of the artificial light-curves, and uses them for significance.
Language: Fortran - Size: 210 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
sugbk18/Sectoral-Analysis-for-Indian-Economy
Top-Down Investment Strategy Optimization with Time Series Forecasting
Language: Jupyter Notebook - Size: 3.16 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
lucrieffel/NBA-Player-Analysis-Alex-Caruso-2019-2020
A comprehensive analysis of Alex Caruso's performance in the 2019-2020 season focusing on the relationship and correlation between playing time and game score.
Language: Jupyter Notebook - Size: 275 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
KaramiMostafa/cns_project_dashboard Fork of SahandHamzehei/cnsdashboard
The project provides a comprehensive Dashboard that presents the findings of the data analysis related to analyzing pollution data and CNS disease statistics in the Italian province.
Language: JavaScript - Size: 53.3 MB - Last synced at: 7 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
IbrahimElzahaby/MSc_Thesis
Computational protemics analysis of cancer cell-lines at the level of single-cells
Language: R - Size: 104 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
den1ceee/poland_survey_2020
Poland social-political consumption research
Language: HTML - Size: 1.93 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
Asureda/coarse_grain_polyelectrolyte
Influence of charge regulation on conformational ,ionization properties and dynamics of polyelectrolytes
Language: Jupyter Notebook - Size: 3.06 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
zue3103/projectRD
Capstone project
Language: Jupyter Notebook - Size: 9.43 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 1
Sridhar922/Water-Quality-Analysis
Water Quality Analysis
Language: Jupyter Notebook - Size: 2.14 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0
BalajiN743/Multi-Linear-Regression-examples
Language: Jupyter Notebook - Size: 2.19 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
Varun-N-M/strength-of-concrete_using_ML_models
Machine learning model which can predict the strength of a mixture for given composition of ingredients like cement, slag, ash, water, superplastic, coarse aggregates, fine aggregates, age.
Language: Python - Size: 8.82 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
Richard-Sti/gpc
Generalised Partial Correlation.
Language: Python - Size: 1.08 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
PARSA-MHMDI/correlation
In this repository, four famous correlation algorithms have been implemented. Pearson, spearman, Chatterjee, and MIC correlation algorithm implemented
Language: Jupyter Notebook - Size: 1.33 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0
LeventSoykan/Churn_Prediction
churn prediction using machine learning classification models
Language: Jupyter Notebook - Size: 566 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0
Intangible-pg18/Cramers-V
Python implementation of Cramer's V, often used to find the correlation between two categorical variables.
Language: Python - Size: 3.91 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0
vaitybharati/P26.-Supervised-ML---Multiple-Linear-Regression---Cars-dataset
Supervised-ML---Multiple-Linear-Regression---Cars-dataset. Model MPG of a car based on other variables. 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.
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vaitybharati/P25.-Supervised-ML---Simple-Linear-Regression---Waist-Circumference-Adipose-Tissue-Data
Supervised-ML---Simple-Linear-Regression---Waist-Circumference-Adipose-Tissue-Data. EDA and data visualization, Correlation Analysis, Model Building, Model Testing, Model Prediction.
Language: Jupyter Notebook - Size: 178 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
samsea18/F5-APM
This project analyzed the relationship between Singapore's GDP & Graduate Employment (from 2013-2019) and made recommendations to re-calibrate education resources to support each industry's GDP growth.
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scab-unam/AdquisicionAnalisisDatosGraficasRedes
Curso de adquisición y análisis de datos con técnicas multivariadas, teoría de gráficas, y redes.
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KarimDaBoss/Predicting-Pneumonic-Plague-Dynamics-with-Google-Search-Trends
This project combines weekly epidemiological case counts of pneumonic plague in Madagascar (Aug–Nov 2017) with Google Trends data for related search terms to explore how online interest tracks—and even predicts—disease spread.
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Maha028/Fortifying_DataPrivacy_with_k-Anonymity_l-Diversity_t-closeness_Models
DataArmor is a cutting-edge tool focused on safeguarding privacy in today's data-driven world using K-anonymity L-diversity and t-closeness privacy model. As the sharing of personal and microdata grows, ensuring the protection of individual identities during data publication and analysis becomes essential.
Language: C# - Size: 3.45 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 1
makoczoro/Credit-Default-Risk-Analysis-EDA
This repository contains the detailed EDA Analysis of Home Credit Group Dataset. The analysis aims to find demographic and financial factors associated with higher or lower default risks, providing actionable insights for risk mitigation and improved lending practices
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zach10w/IA-Classification-Analysis
This GitHub repository hosts my AI evaluation work, featuring a Kaggle dataset analysis, experiments with three ML algorithms (including hyperparameter tuning), and a detailed exploration of wine quality data through outlier detection, correlation, and normalization techniques.
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