This project aims to develop a deep learning-based model for predicting stock prices. Stock Price Predicton Using Deep Learning Project Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

The top 5 full stack machine learning project ideas include building an Image Classification Web Application, where you can classify images into different categories using machine learning algorithms such as Convolutional Neural Networks (CNNs). Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

The top 5 full stack machine learning project ideas include building an Image Classification Web Application, where you can classify images into different categories using machine learning algorithms such as Convolutional Neural Networks (CNNs). Includes Source Code, PPT, Synopsis, Report, Documents, Base Research Paper & Video tutorials

This project implements a LSTM (Long Short-Term Memory) model to predict stock prices of AAPL (Apple Inc.) and AMD (Advanced Micro Devices) using historical data. The dataset includes stock prices with features like Open, High, Low, Close, Adjusted Close, and Volume. The model is trained using LSTM to learn the temporal dependencies in the data.