Nabegh-Anane/Stock-Price-Prediction - GitHub
This project leverages Long Short-Term Memory (LSTM) neural networks for predicting future stock prices based on historical data. LSTM is a type of recurrent neural network (RNN) well-suited for time-series forecasting, making it ideal for …
Stock Price Prediction Using Machine Learning - GitHub
The goal of this project is to provide insights into stock price trends and predict the future prices of stocks for the next 30 days. The model uses Python-based machine learning frameworks and displays the results in an interactive Streamlit interface. The project comprises: Data Preprocessing: Cleaning and preparing historical stock price data.
GitHub - zohairbadshah/InvesTech: Real-Time Stock Price and …
Real-Time Stock Price and Prediction Chart with Web Scraping and ARIMA , deployed on a Web Application. This GitHub repository houses a powerful combination of React, Chart.js, and advanced AI methodologies to provide dynamic, data-driven insights for investors.
GitHub - prajwalabhin/Stock-Price-Prediction-Using-K-Nearest …
2024年10月13日 · This project predicts stock price trends using Random Forest Classifier and K-Nearest Neighbors (KNN) on datasets from S&P 500 (US stocks), NSE 50 (Indian stocks), and ADANI Enterprises (single Indian stock). The objective is to forecast whether a stock's closing price will rise or fall the next day based on historical data.
Final-Year-Machine-Learning-Stock-Price-Prediction-Project
Stock Price Prediction : Stock (also known as equity) is a security that represents the ownership of a fraction of a corporation. This entitles the owner of the stock to a proportion of the corporation's assets and profits equal to how much stock they own.
Charles-benny/Stock-Price-Prediction-Forecasting-with-LSTM …
Stock-Price-Prediction-Forecasting-with-LSTM-Neural-Networks-in-Python-using-LSTM Build a predictive model using machine learning algorithms to forecast future trends. This could be predicting stock prices, sales, or any other time series data. of data from '2021-03-25', to '2024-05-29', Date,Open,High,Low,Close,Adj Close,Volume MSFT.csv
GitHub - Livisha-K/stock-prediction-rnn: The "stock-prediction-rnn ...
The "stock-prediction-rnn" repository uses Python and Keras to implement a stock price prediction model with LSTM in RNN. Leveraging yfinance data, users can train the model for accurate stock price forecasts. This repository serves as a concise guide for applying LSTM within RNN for financial predictive analysis.
TrendMaster: Advanced Stock Price Prediction using Transformer …
TrendMaster is an advanced stock price prediction library that leverages Transformer deep learning architecture to deliver highly accurate predictions, empowering investors with data-driven insights. Table of Contents
harshitt13/Stock-Market-Prediction-Using-ML - GitHub
2024年10月7日 · Stock_Analysis_Prediction_Model/ │ ├── data/ # Raw and processed stock data ├── src/ # Source code for data fetching and model training ├── models/ # Saved trained models ├── tests/ # Unit tests for various components ├── images/ # Model performance visualization ├── requirements.txt # Project dependencies └── main.py # …
GitHub - JordiCorbilla/stock-prediction-deep-neural-learning ...
Successful prediction of a stock's future price can yield significant profits for investors. 1) Introduction Predicting stock prices is a complex task, as it is influenced by various factors such as market trends, political events, and economic indicators.
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