Python, Technology, Stock Market, Data Science, Machine Learning.
robo-advisor, we choose K-means clustering because it is a simple and efficient algorithm that can handle large datasets and is suitable for our task of segmenting stocks based on financial metrics. K-means clustering assigns each data point to the cluster with the closest mean value, allowing us