Modeling and forecasting inflation in Sri Lanka using ARIMA models
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Updated
Feb 3, 2022 - HTML
Modeling and forecasting inflation in Sri Lanka using ARIMA models
A modified Philips Curve to estimate U.S. inflation at risk using R programming. The data is imported from FRED using API.
In this project, I extracted +40 leading indicators to forecast the UK inflation rate from Twitter tweets from 2018 to 2022 in the UK for the Data-Driven Economics course in my master's at Sapienza University
Inflation Forecasting
Analyzing the impact of price surges on the Nigerian economy across key sectors till 2024
PPTI 15 Final Project for Machine Learning Classes.
Calculations for my data-managment final project. Inflation prediction
I prepared a modified version of the Taylor Rule to measure inflation at risk for the U.S. economy using R programming.
CSC 4740/ CSC 6780
A Canada Inflation Prediction project carried out by deploying LSTM.
A different way to hedge against inflation.
Data Analytics on inflation data set using machine learning algorithms
LSTM neural network for inflation forecasting
Modelos de alta dimensionalidade para previsão do IPCA
Data source: https://fred.stlouisfed.org/
Recently inflation is a popular topic in Poland and is highest since 2001. Experts presume inflation in Poland should continue to rise, and by the end of 2021 it will be close to 8%. This notebook aims to develop a forecasting model for time series using Python.
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