Apache Spark utilities to analyze mobile network deployment and user behavior data.

SDS 385: Statistical Models for Big Data

Mainardi Wright functions for R

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

A collection of awesome software, libraries, Learning Tutorials, documents, books, resources and interesting stuff about Artificial Intelligence

Statistical analysis of tesla stock market data

Scraping Austrian statistics platform STATatlas for public available data using selenium

Group project to explore how different environmental aspects of climate change affects the number of valley fever cases.

Statistical Analysis of Ames Iowa Homes

Program Exercises in R Language from book: "Forecasting, Time Series and Regression: An Applied Approach" / Ejercicios resueltos en R del libro "Pronosticos, Series de tiempo y Regresión: Un enfoque práctico" de Bruce L. Bowerman, Richard T. O´Connell, Anne B. Koehler, ISBN: 9789706866066 , Cuarta edición, Editorial: Thomson Año 2007

Time Series Analysis and Forecasting with Exponential Smoothing and Holt-Winters in Python

revision of Statistical Computing (MATH10093)

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

Repositorio del Blog Personal Pigeon Stats

This repo includes the beginning of my more advance project work during my undergraduate program at UPenn, wherein we to applied statistical concepts into our analysis in R.

Analyzing IBM HR Analytics Employee Attrition & Performance using Decision Tree and Keras Deep Learning

connections among various statistical methods

[HYU] 2019_1학기_통계적모델링_실습 /w R Language

Statistical and ML models for cross sectional data with classification and continuous predictor. Pre-steps include data cleaning, visualisation and feature engineering

Technical Reports