PandaDock: Physics based Molecular Docking with GNN Scoring
In this repository, four famous correlation algorithms have been implemented. Pearson, spearman, Chatterjee, and MIC correlation algorithm implemented
資料科學的日常研究議題
MediaEval challenge 2019 - to predict the memorability of the Videos
Calculating pairwise euclidean distance matrix for horizontally partitioned data in federated learning environment
10 Days of Statistics Hackerrank Solutions
Currently, there are 26.2 million COVID-19 cases in the US due to people taking lower precautions to reduce transmission at public venues. This project aims to create a tool that provides individuals with information to make a responsible decision about visiting an establishment to prevent unnecessary SARS-CoV-2 cases. A probabilistic model that…
A machine learning project where we first detected and removed the outliers and then checked correlation among features and then applied different ML algorithms to check if the person might get a heart attack or not.
lambda_corr — Repeated-Average-Rank Correlation Λ (Lambda)
This repository contains statistical analyses conducted on various datasets related to medical and health factors. The analyses include Spearman correlation, Chi-square test, and Linear Regression to explore relationships and predictive models related to heart attacks and other medical conditions.
Implementation of Spearman and Kendall correlation coefficient for MS Excel (VBA)
SECmp is a system for collecting and comparing search engine rankings, using Google Search results as a baseline to evaluate relevance overlap and ranking correlation across engines.
hyper_corr — Hyper-fast, numba-accelerated correlation coefficients with SciPy-compatible results.
University course
"Explore and understand various correlation measures such as Pearson, Spearman, and Kendall through detailed explanations, mathematical derivations, and practical examples.
Singals applications
A Study of Health Disparity of Dental Care Across London Boroughs in Relation to Average Household Income
My personal repository where I can keep files associated with my learning of Statistics
SmoothTrend is a comprehensive time series analysis tool that utilizes Holt-Winters, Holt, and Simple Exponential Smoothing methods, as well as ARIMA/SARIMA modeling, to perform advanced trend analysis, stationarity testing, residual analysis, and forecasting.
[FIRE 2023] A Comparative Analysis of Retrievability and PageRank Measures
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