statistical-methods

Statistical package in Python based on Pandas

an extensive Qt5 Plotter framework (including a feature-richt plotter widget, a speed-optimized, but limited variant and a LaTeX equation renderer!), written fully in C/C++ and without external dependencies

Multiple Pairwise Comparisons (Post Hoc) Tests in Python

Public-domain Python library for flashcard quiz scheduling using Bayesian statistics. (JavaScript, Java, Dart, and other ports available!)

Development version of 'spatstat' package ..............................

STATS320: Statistical Methods for Neural Data Analysis

Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets

An introductory statistics course for social scientists, using Stata

JavaScript port of Ebisu, the public-domain library for Bayesian quiz scheduling.

The machine learning library you really understand.

Multilingual automatic text summarizer using statistical approach and extraction

Jupyter notebooks with examples of statistical methods and analyses using R.

Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets

🌎 Review materials for bioinformatics, computational biology, and science in general

R package for fitting joint models to time-to-event and longitudinal data

A long term project for creation of a primer for statistical methods; prerequisite to Machine Learning.

Marker gene selection from scRNA-seq data

Repo for code and small datasets related to Global Policy Lab's COVID-19 policy analysis. Read and share the acompanying article here:

Scripts, tools and example data for mapping wetland ecosystems using data driven R statistical methods like Random Forests and open source GIS

Introduction to NLP class at Zewail City. This repo contains all the resources and materials for students

Python package for Bayesian & Frequentist A/B Testing

Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance of models using forecasting metrics such as, MAE, RMSE, MAPE and concluded that Linear Regression model produced the best MAPE in comparison to other models

Some little notes from the author for everyone who wants to know or learn about the process that a data scientist must do from the beginning of data collection to making predictions with a model that has been built. These notes are based on the knowledge that the authors have learned and implemented. Enjoy it!

Code for the book: "Statistical Learning Methods, by Hang Li".

Package provides java implementation of the latent dirichlet allocation (LDA) for topic modelling

Sub-package of spatstat containing all datasets

An R package providing a GUI ('shiny' app) for the R package 'brms'.

Statistical Method Based Fault Detection Algorithm for Wireless Sensor Networks (WSNs).