distfit is a python library for probability density fitting.
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Updated
May 17, 2024 - Jupyter Notebook
distfit is a python library for probability density fitting.
Collection of stats, modeling, and data science tools in Python and R.
benfordslaw is about the frequency distribution of leading digits.
missCompare R package - intuitive missing data imputation framework
A clinical genomics-guided prioritizing strategy enables accurately selecting proper cancer cell lines for biomedical research
Python implementation of an extension of the Kolmogorov-Smirnov test for multivariate samples
Computational predictions of protein attributes associated with COVID-19 using Data Science techniques
Code for testing Concept drift techniques on a real word dataset on a hexapod robot
APEXSENSUN is a package in R for performing uncertainty and sensitivity analysis for the APEX model.
Hands-on Instructions on Different courses
An analysis and classification model on Power Outages.
This repository contains data science tools and methods, and my take and notes on some of them
Анализ датасета по суицидам в Шаньдуне.
Implementing Unif(0,1) Pseudo Random Generators & performing Statistical Tests on them
Samples generations using discrete probability and Kolmogorov-Sirmnov test
Shandong suicide dataset analysis
Como descrever meus dados? Quais testes estatísticos devo usar? Síntese dos testes estatísticos (introdutórios) que podem ser usados em uma análise de dados em saúde.
Machine Learning basics codes I wrote in 2020
A simple, vectorized implementation of the two-sample Kolmogorov-Smirnov test in PyTorch.
PCTSEA (Proteomics Cell Type Enrichment Analysis) is a tool designed to statistically determine which cell types are significatively enriched in an input set of proteins with certain relative expression values. This process is done by using a database of datasets of RNASeq expression values from single cells from which the cell type is known (or…
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