distfit is a python library for probability density fitting.

R package 📦 for handy functions when working with GWAS (summary) data

Fast manhattenplots using ggplot2

Cool Bioinformatics Scripts

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

smart QQ bot plugin based on iOS jailbreak platform

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

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.

Q-Q plots, inflation and friends

Generalized Additive Forecasting Mortality

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.

King County Real Estate Model

This repository contains the descriptive statistics notebook.

Age-Gender-Country-Specific Death Rates Modelling and Forecasting: A Linear Mixed-Effects Model

Regression analysis in R comparing simple and multiple linear models to predict housing sale prices. Includes residual analysis, QQ plots, MSE/RMSE evaluation, and ANOVA model comparison.

Conducting simple linear regression on the penguins dataset

Some scripts for dataset exploration, normalization and classification using Python, PyBrain, SciPy

Predicting wage in the uswage dataset (Linear Regression). Model Selection, Model Diagnostics etc.