Bitcoin Price Prediction using LSTM

This script demonstrates the use of Long Short-Term Memory (LSTM) neural networks to predict Bitcoin prices. The dataset used contains historical Bitcoin price data, and the LSTM model is trained to learn patterns and make predictions.

this code is runned in windows WSL - Ubuntu 22.04

Dependencies:

• pip install numpy
• pip install pandas
• pip install keras
• pip install tensorflow[and-cuda]
  • CUDA driver (from 2.10 version and above Windows GPU training is not supported only in linux) https://github.com/ashishpatel26/Cuda-installation-on-WSL2-Ubuntu-20.04-and-Windows11
• pip install matplotlib
• pip install scikit-learn

Note: Ensure the required libraries are installed before running the script