ncozzi/wb_gdp_predict
Predicting next year's GDP using ML (Python)
This project helps economists, financial analysts, and policy researchers forecast next year's national GDP. It takes historical economic indicators from the World Bank as input and uses machine learning to produce more accurate GDP predictions than traditional econometric models. The output is a set of predicted GDP values for various countries.
No commits in the last 6 months.
Use this if you need to generate more accurate annual GDP forecasts using a machine learning approach and readily available World Bank data.
Not ideal if you require real-time or quarterly GDP predictions, as this project is based on annual data, which may reduce accuracy for short-term forecasting.
Stars
8
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Nov 28, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ncozzi/wb_gdp_predict"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
samirsaci/ml-forecast-features-eng
Machine Learning for Retail Sales Forecasting — Features Engineering
georgeguimaraes/soothsayer
Elixir library for time series forecasting, inspired by Facebook's Prophet and NeuralProphet
Pradnya1208/Time-series-forecasting-using-Deep-Learning
The goal of this notebook is to implement and compare different approaches to predict ...
AstraZeneca/judgyprophet
Forecasting for knowable future events using Bayesian informative priors (forecasting with...
DSkapinakis/sales-time-series-forecasting-ml-models
Sales Time Series Forecasting using Machine Learning Techniques (Random Forest, XGBoost, Stacked...