Stock Market Analysis using K-means Clustering
This project Stock Market Data from Yahoo Finance is extracted and then cleaned and load into K-means Clustering Algorithm to detect similar companies based on their movements in the market.
It mainly deals with developing a pipeline that normalizes the data and then runs the algorithm to produce the labels that assign the companies to different clusters, like Mcdonalds, Mastercard, Symantec, Apple, American Express, Sony, etc.
Jupyter Notebook > Stock Market Analysis using K-means Clustering
Power BI Dashboard > Stock Market Analysis
