Call-center discrete event simulation project mostly done using numpy and simple data structures.
-
Updated
Sep 5, 2025 - Python
Call-center discrete event simulation project mostly done using numpy and simple data structures.
A Turkish language model using syllable and character based n-grams (1-gram, 2-gram, 3-gram) built on the Turkish Wikipedia Dump dataset for random sentence generation for NLP tasks and language modeling.
Escrevendo um plugin experimental para interpolação (IDW e Krigagem) no QGIS.
Analyse efficacy of your own confidence interval (CI) methods
The ideal way to evaluate binary classification models.
In this repository are contained all the codes for the data analysis of batch accumulation test for PHA production.
Generator of new data with the same probability distribution and statistics from a frecuency table or a dataset or or alternatively bothboth.
Plotly Dash app that animates Bayesian updates of beta distributions with binomial data
A statistical model of the COVID-19 vaccination campaign. It segments the population into agnostics, pro-, and anti-vaccines. Vaccination is modeled as a Poisson process, and social pressure on the population can change their views on vaccines. The model can faithfully reproduce real-world data.
The purpose of this analysis is to obtain a forecasting model by the relationship between different automobile component combination and their price and predict prices of possible automobile component combination.
Fantasy National Hockey League Player Performance Predictor. Given the player performance statistics from recent games, various statistical and machine learning models are used to predict player performance in future games for Fantasy Hockey League planning
an artificial intelligence project to recognize american sign language
A statistical simulator and calculator to size FIFOs
Scraping Austrian statistics platform STATatlas for public available data using selenium
NCAA_smalldata_tournamentSimulation
An analysis of UK greenhouse gas emissions from 1990 to 2023, using ARIMA for time series forecasting, for a task issued by the National Audit Office (NAO). Includes exploratory analysis, stationarity tests, and visualisation with confidence intervals for a 5-year prediction.
A package for using statistical distributions.
An implementation of latent dirichlet allocation on Wikipedia pages
Predicting House Prices using Machine Learning - Data Cleaning, Feature Engineering, and Model Selection (XGBoost)
Add a description, image, and links to the statistical-models topic page so that developers can more easily learn about it.
To associate your repository with the statistical-models topic, visit your repo's landing page and select "manage topics."