STOCK PREDICTION

[HinaIsmail]

This repository demonstrates the use of machine learning techniques for predicting stock prices. By leveraging historical stock data, the project implements advanced models to capture market trends and provide predictive insights.

Key Features:
Data Preprocessing: Handling missing values, feature scaling, and engineering time-series features.
Modeling: Implementation of popular ML/DL models like Linear Regression, LSTM, or ARIMA for stock prediction.
Evaluation: Measuring model performance using metrics such as MAE, RMSE, and R-squared.
Visualization: Interactive plots for analyzing trends and predictions.