LSTM-Based Financial Time Series Prediction 📈

This repository contains a project implementing LSTM (Long Short-Term Memory) networks using TensorFlow to predict Google stock prices over a 10-day period.

📦 Dataset

The dataset used in this project is available on my Kaggle page:
👉 Google Dataset.

📌 Features

• Uses LSTM, a powerful recurrent neural network (RNN), for time series forecasting.
• Processes Google stock price data and predicts future trends.
• Implements data preprocessing, normalization, and visualization techniques.
• Utilizes TensorFlow, Keras, NumPy, Pandas, Matplotlib, and Plotly for analysis and visualization.