Portfolio Project: Predict The Stock Market Using Machine Learning

In this project, you'll take on the role of a financial analyst tasked with predicting stock market prices using machine learning. You'll work with historical S&P 500 data, preparing it for analysis, setting up a target variable, training an initial model, and evaluating performance through backtesting. By adding additional predictors like rolling averages, you'll aim to improve the model's predictive power. This project allows you to apply machine learning to a real-world financial scenario, developing skills in time series data handling, model training, and evaluation - valuable additions to a data science portfolio. Objective: Use machine learning to predict stock market price movement, evaluating and optimizing model performance to build real-world data science skills.