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What is Stock Price Prediction with ML & DL Models about?

This document provides a synopsis for a project on predicting stock prices using hybrid machine and deep learning models. The goals are to accurately predict stock prices with a low RMSE score. Relevant techniques include ARIMA time series analysis and neural networks. The plan is to obtain a time series stock dataset, clean the data, make it stationary, use a neural network to find patterns and feed results into a machine learning algorithm to generate predictions. Papers supporting the project combine ARI

Author

Pawankumar Khetre

Language

EN