Forecasting the GDP using popular classification models

This article talks about forecasting nominal GDP (Gross Domestic Product) using data present over the web. The problem statement was to gather data from authentic sources, perform an **Exploratory Data Analysis (EDA), train a model and predict **the Nominal GDP (Canada). As an IT person, I had little knowledge about these economics-associated terms. That is why the first thing to do was to get familiar with these concepts. Next was to learn and execute this project in R programming language and get acquainted with popular R packages such as tidyverse, ggplot, caret and others. In practice, good use of online resources makes it easy to get accustomed to R and its syntax.

#economics #r #machine-learning #artificial-intelligence #data-science