distfit is a python library for probability density fitting.

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

Cool Bioinformatics Scripts

Julia package for plotting results from GWAS

A curated list (with links) of useful tools for genome-wide association analysis.

Fast manhattenplots using ggplot2

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

Forecast the Airline Flight Demand Using ARIMA and AR

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

Personal R Library

Generalized Additive Forecasting Mortality

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

King County Real Estate Model

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