The stock price predictor is a machine learning project aimed at predicting future stock prices using historical data. This project is divided into two main parts: Data Collection and Preprocessing, and Model Training and Evaluation. The goal is to develop a functional stock price prediction tool. The project leverages the yfinance library for data collection and scikit-learn for model training and evaluation. And It uses the "Random Forest" ML Model for determining the stock prices for future days.
Note : Just a basic prediction not actual prediction because stock price can never be predicted
No Issues, PRs or Discussions added.