apple-stock-data
There are 8 repositories under apple-stock-data topic.
HusseinJammal/Liquid-Neural-Networks-in-Stock-Market-Prediction
This repository hosts a stock market prediction model for Tesla and Apple using Liquid Neural Networks. It showcases data-driven forecasting techniques, feature engineering, and machine learning to enhance the accuracy of financial predictions.
eaglewarrior/Data-analysis-python-projects
This are my basic projects build from scratch, I have used Python for programming.
ashendrasharma/Stock-Price-Prediction-Using-LSTM
"Exploring the Dynamics of Stock Price Prediction: Harnessing the power of LSTM neural networks, this project demonstrates the application of deep learning techniques to forecast Apple's stock prices using historical data from Yahoo Finance."
SiavashShams/Stock-Market-Prediction
Predicting the price of Apple and Google stock using RNN, LSTM, GRU
Gulshank0719/Apple-Stock-Forecasting--Capstone-Project
Apple stock forecasting
krishcy25/TimeSeriesModeling-Apple-Stock-Prediction
This repository focuses on building Time Series Model (Recurrent Neural Network- LSTM) to predict the stock price of the Apple.Long Short-Term Memory (LSTM) networks are a type of recurrent neural network capable of learning order dependence in sequence prediction problems that involves time series related events
manasik29/Stock_Market_Foreasting_Prediction_APPLE_Stock
Forecasting and Prediction of Apple stock by creating a stacked LSTM model on previous data and trying to predict new stock price.