Exploring Time Series in R - This is an exploration of time series analysis that includes moving average, holt-winters smoothing, and ARIMA models.
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Updated
Dec 22, 2016 - HTML
Exploring Time Series in R - This is an exploration of time series analysis that includes moving average, holt-winters smoothing, and ARIMA models.
A place to practice exploring and analysing UCI machine learning data sets
Predict-413 - Time Series Analysis & Forecasting Class for MSPA, Spring 2018
This project deals with Time Series Problem to predict the number of passengers in a train over the next 7 months
The increasing demand for energy is one of the biggest reasons behind the integration of solar energy into the electric grids or networks. To ensure the efficient use of energy PV systems it becomes important to forecast information reliably. The accurate prediction of solar power variation can enhance the quality of service. This integration of…
Investigated a dataset using R and exploratory data analysis techniques, exploring both single variables and relationships between variables.
This repository contains several smaller projects and tutorials that I've created for fun about time series analysis in R.
Analysis of the sales data with particular focus given to how promotions and advertising translate into sales, in terms of both units sold and sales dollars.
Test platform for possible future claims reserving website
Artificial Neural Networks on Economic Forecasting
Real estate forecasting using Zillow Research data
Sistema de avaliação de roteiros com base em dados de redes sociais, desenvolvido por alunos do curso de Sistema de Informação da UFRPE.
Raw R code for simulations using South Australia Health Guidelines for vancomycin dosing. Post-graduate work for Dr. Stephanie Reuter-Lange at University of South Australia.
Python Based implementation of OpenWeatherMap API for making a 5 day(3 Hour) forecast.
The software includes a dynamic bayesian network with genetic feature space selection, includes 5 econometric data.frames with 263 time series.
Empirical MAP Bayes examples and applications. Post-graduate work for Dr. Stephanie Reuter-Lange at University of South Australia.
Novel-Corona Virus or Covid-19 :Visualisation,Forecasting ,Analysis,Maps,Bar Race Charts,Starter Codes,Modelling,Forecasting,Estimation
Showcase for Forecasting Explainability using New Car Sales in Norway
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