Data Analytics on inflation data set using machine learning algorithms
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Updated
Sep 13, 2022 - Jupyter Notebook
Data Analytics on inflation data set using machine learning algorithms
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
A modified Philips Curve to estimate U.S. inflation at risk using R programming. The data is imported from FRED using API.
Inflation Forecasting
CSC 4740/ CSC 6780
Modeling and forecasting inflation in Sri Lanka using ARIMA models
PPTI 15 Final Project for Machine Learning Classes.
A different way to hedge against inflation.
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.
Data source: https://fred.stlouisfed.org/
A Canada Inflation Prediction project carried out by deploying LSTM.
LSTM neural network for inflation forecasting
Modelos de alta dimensionalidade para previsão do IPCA
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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