/Stock-Prediction-using-LSTM-BiLSTM-ARIMA-Models

Stock-Prediction-using-LSTM-BiLSTM-ARIMA-Models

Primary LanguageJupyter Notebook

StockPredictionModelComparison

The project compares three models for Stock Price Prediction being (LSTM, BI-LSTM and ARIMA) and plots the predicted stock as well as analyses the RMSE to find the best model.

The Project was done by Justin Sunil David and Irine Sara Benoy

This project is a classification of three models of prediction using their Root Mean Squared Error to analyse the best of the three. The dataset was taken from Yahoo Finance's Google Stock History - Google Stock Price Data Set

Contents of the Repository include:

  1. StockPredictor.ipynb
  2. datasource.md
  3. helpdocument.md
  4. methods.md
  5. GOOG1.csv
  6. results.md

Done under the Supervision of:

Dr. Siddhaling Urolagin,

PhD, Post-Doc, (Machine Learning),

dr.siddhaling@gmail.com,

www.github.com/siddhaling