Predicting GDP with Machine Learning | FRED Data, VAR & Linear Regression Explained
Автор: Godwin Allwell
Загружено: 2025-12-26
Просмотров: 39
Описание:
In this video, I walk through how to predict GDP using machine learning and economic data from FRED (Federal Reserve Economic Data).
We explore:
Understanding and sourcing macroeconomic data from FRED
Exploratory analysis using correlation, covariance, and Granger causality
Applying VAR (Vector Autoregression) to examine multi-variable interactions
Feature scaling with StandardScaler
Building a Linear Regression model to predict GDP
Model evaluation using Mean Squared Error (MSE) and R² Score
Visualizing predictions vs actual GDP values
Forecasting the next quarter’s GDP
This project is ideal for anyone interested in econometrics, data science, finance, and machine learning applied to macroeconomic forecasting.
📌 Tools & Libraries Used:
Python
pandas, numpy
statsmodels
scikit-learn
matplotlib / seaborn
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