Apache Spark utilities to analyze mobile network deployment and user behavior data.
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Updated
Jun 24, 2017 - Scala
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
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
A full analytics of Andy Roddick's career
A open source multi arm bandit framework for optimize your website quickly. You’ll quickly use the benefits of several simple algorithms—including the epsilon-Greedy, Softmax, and Upper Confidence Bound (UCB) algorithms—by working through this framework written in Java, which you can easily adapt for deployment on your own website.
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
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