Python_CS_03 Algorithmic Trading in Python Case-Study Title: Using Classification algorithms in financial markets (Stock Market Prediction) Data Analysis methodology: CRISP-DM Dataset: S&P-500 (The Standard and Poor's 500) Timeseries data from 2019 to 2023 Case Goal: Create an automatic financial trading algorithm for S&P-500 index (Algorithmic Trading)