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.
Shandong suicide dataset analysis
Анализ датасета по суицидам в Шаньдуне.
This repository contains baseconfigs & userconfigs, cGENIE outputs, Python scripts for data analysis, and figures associated with the Herho et al. (2024) manuscript.
Our team analyzed real data to help TFA optimize its corps matching process for placement acceptance and successful corps experiences. Finalists were selected in a multi-round process based on the degree to which they demonstrated.
Hands-on Instructions on Different courses
The Monte Carlo method and the Kolmogorov-Smirnov correspondence criterion for a generation task
R codes for Nonparametric Statistics
Python implementation of an extension of the Kolmogorov-Smirnov test for multivariate samples
Project of a coursework - Nonparametric Inference (M.Stat Semester 2) under the supervision of Prof. Isha Dewan. (Project Group : Uttaran Chatterjee, Adrija Saha, Shrayan Roy)
Enhancing Statistical Tests: Integrating Automation and Visualization for Optimal Data Analytics
Collection of stats, modeling, and data science tools in Python and R.
Machine Learning basics codes I wrote in 2020
A simple, vectorized implementation of the two-sample Kolmogorov-Smirnov test in PyTorch.
benfordslaw is about the frequency distribution of leading digits.
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.
Report findings from normality tests such as shapiro.test, ad.test, ols_normality_test.
Data Drift Analysis and Anomaly detection tools
Code for testing Concept drift techniques on a real word dataset on a hexapod robot
Produce ROC, Concordance, KS, Calibration, Lift curve, Lift table for a binary classifier
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