Stock Prediction Model

This project utilizes LSTM (Long Short-Term Memory) and SVM (Support Vector Machine) algorithms to predict stock market trends. It integrates these advanced techniques to generate forecasts and provide valuable insights into future stock performance.

Features

• Predict stock prices using LSTM for time series forecasting
• Enhance predictions with SVM for classification and regression tasks

Tech Stack

• Python: Programming language
• LSTM: Time series prediction
• SVM: Classification and regression
• Libraries: scikit-learn, Keras/TensorFlow, numpy, pandas

Getting Started

Prerequisites

• Python 3.x installed
• Required Python libraries