Statistical Modelling

Zephyr is a platform which provides users with the predicted AQI levels of air pollution for 39 cities of India with daily, monthly and yearly trends. It also provides some of the statistics observed for AQI over these cities and various latest articles and blogs related to air pollution.

This repo provides an introduction to the basic concepts in Time-Series Analysis and Forecasting

Call-center discrete event simulation project mostly done using numpy and simple data structures.

Statistical computing in R language. Includes logistic regression, clustering, factor analysis, decision trees, and other multivariate topics as time permits.

forecasting of yearly passenger of airplane with the help of the statistical model

Predict marijuana using age via statistical modeling

Dataset provided with historical sales data for 45 stores located in different region search store contains a number of departments. The company also runs several promotional markdown events throughout the year. These markdowns precede prominent holidays, the four largest of which are the Super Bowl, Labor Day, Thanksgiving, and Christmas. The w…

Julia Bayesian Networks Library

In this repository, I learned basic Python programming for Data Analyis and Data Science. 🐍📊. It was an exciting journey!".

Arhive of other projects not categorized into repositories.

This project delves into the preprocessing and exploratory data analysis of a corpus, where initial phase involves constructing into individual articles using journalistic approach.

A repo of all my baseball analytics projects. Reach me at danielthom18@outlook.com

SDS 385: Statistical Models for Big Data

📖 Un complemento interactivo para entender y dominar la Estadística Aplicada: Estadística Básica, Aprendizaje Estadístico y Ciencia de Datos con R.

Statistical analysis of tesla stock market data

Scraping Austrian statistics platform STATatlas for public available data using selenium

Statistical Analysis of Ames Iowa Homes

Ce projet en R porte sur l’étude de la densité g et de la fonction de régression r de données où les xi et les yi sont les réalisations de variables aléatoires réelles

This is a project where the given data set is modeled using statistical methods and giving up a best model using results .