distfit is a python library for probability density fitting.
A curated list (with links) of useful tools for genome-wide association analysis.
Julia package for plotting results from GWAS
Forecast airline passenger demand using time series models like AR, ARMA, and LSTM to improve operations, optimize scheduling, enhance resource allocation, and streamline supply chain management through accurate demand predictions
Residual analysis in Linear regression is based on examination of graphical plots which are as follows :: 1. Residual plot against independent variable (x). 2. Residual plot against independent variable()y. 3. Standardize or studentized residual plot 4. Normal probability plot
RStudio project utilizing various statistical methods to replicate and diagnose the findings of Appel and Loyle from their study on post-conflict justice and foreign direct investment.
This repository is a resource for learning and applying statistics in data science. It contains code examples and explanations for many common statistical concepts, from descriptive statistics through regression and time series analysis.
Some scripts for dataset exploration, normalization and classification using Python, PyBrain, SciPy
Machine Learning Algorithms
This repository contains the descriptive statistics notebook.
Conducting simple linear regression on the penguins dataset
King County Real Estate Model
Age-Gender-Country-Specific Death Rates Modelling and Forecasting: A Linear Mixed-Effects Model
Statistics on App usage data
Add a description, image, and links to the qqplot topic page so that developers can more easily learn about it.
To associate your repository with the qqplot topic, visit your repo's landing page and select "manage topics."