Time series forecasting is a key concept in data science that involves predicting future values based on data that has been observed in the past. From predicting stock prices to estimating product demand, time series techniques power many real-world applications Read More …
In data science, Graph Neural Networks (GNNs) have become a powerful tool for analyzing complex, interconnected data. Unlike traditional machine learning models, which handle grid-like or tabular data, GNNs are specifically designed to process graph-structured data, which consists of nodes Read More …