RichaSavant/Stock-Market-Analysis-A-Two-Stage-Comparative-Stacking-Approach-using-Pyspark-Jan_2024

This project aims to enhance the accuracy and efficiency of stock market predictions by employing a sophisticated machine learning methodology. This project leverages the power of PySpark, a robust framework for distributed data processing, to handle large datasets and perform complex computations.