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.

Data source: https://fred.stlouisfed.org/

Modelos de alta dimensionalidade para previsão do IPCA

LSTM neural network for inflation forecasting

Data Analytics on inflation data set using machine learning algorithms

To address the impact of rising house prices on the economy, we built a machine learning model resistant to market trends. We experimented with Random Forest and Linear Regression models, employing sophisticated imputation methods like median state price replacement, KNN imputation, and forward/backward filling to minimize errors.

A Canada Inflation Prediction project carried out by deploying LSTM.

A different way to hedge against inflation.

This repository contains the code for a research on inflation prediction using different Machine Learning methods. It was developed by @estcab00 for @qlabpucp

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.

Modeling and forecasting inflation in Sri Lanka using ARIMA models

Inflation Forecasting

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.