The aim of project was to make an app using shiny and R programming to predict the stock prices of various companies for the next 5 days using neural networks and arima model.
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Sep 11, 2018 - R
The aim of project was to make an app using shiny and R programming to predict the stock prices of various companies for the next 5 days using neural networks and arima model.
Supporting code for my project on modeling the number of positive Covid19 cases in the USA from April 2020 to March 2021 using Time Series models using R programming
Honours Dissertation Resources
Time Series Analysis
This project is to build an ARIMA model to predict supermarket deals (Coles and Woolworths). It is written in R programming language. The dataset consists of multiple attributes such as date and items name showed on website. The price are updated progressively. The dataset is not having all items, instead only the items of interest.
ARIMA model for forecasting daily Covid-19 cases in Morocco
Forecasting Projects for Econ 144 (Time Series Analysis & Forecasting) at UCLA, Spring 2023
An end-to-end code solution involves performing EDA and sales prediction using time series analysis in R with ML models and evaluating their performance based on accuracy metrics.
Machine learning models build on real time data
A group project for Florida Tech's MTH5324 (Statistical Modelling) project that analyzes the impact of the Russo-Ukraine war on the economy of several significant geopolitical entities.
Assignment codes for Time Series (2020, FGV)
Economic Time Series Analysis, Prediction and Forecasting using advanced Statistical methods and an ad-hoc estimated ARIMA (SARIMAX) model in R.
Time Series Analysis Project for PSTAT 174 class @ UCSB
Time Series Forecasting with ARIMA GARCH
Predicting Change in GDP of the United States
Methodology and code to use social data for forecasting shortage of essential commodities (gasoline/PPE/toilet paper) during disasters like hurricanes and pandemics
Prediction of road casualties and evaluate the impact of transformations in Time Series Modeling and Forecasting with ARIMA using the R programming language
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