Stock Price Prediction Using Machine Learning This repository contains a project for predicting stock prices of multinational companies (MNCs) for the next 30 days using machine learning …

A PyTorch-based stock price prediction project covering the full workflow from data collection, preprocessing, model training, to inference. The project focuses on multi-scale hybrid models …

Apr 16, 2023 · Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on …

TrendMaster is an advanced stock price prediction library that leverages Transformer deep learning architecture to deliver highly accurate predictions, empowering investors with data …

📈 Stock Price Prediction using Machine Learning This project demonstrates how to predict future stock prices using various machine learning models and historical market data. By analyzing …

Check my blog post "Predict Stock Prices Using RNN": Part 1 and Part 2 for the tutorial associated. One thing I would like to emphasize that because my motivation is more on …

To identify patterns and trends in stock prices, deep learning techniques can be used for machine learning. Long short-term memory (LSTM) is a type of recurrent neural network (RNN) that is …

The LSTM model serves as the primary forecasting tool, leveraging its ability to capture long-term dependencies in sequential data. However, recognizing that even sophisticated models like …

Stock Analysis Prediction Model 🎯 Project Overview This project implements a stock price prediction model using two different machine learning approaches: linear regression and Long …

Stock Predictor Stock analysis with ML forecasting, technical analysis, and sentiment analysis.