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Machine Learning in Stock Market Analysis by tushar sundriyal is a document available to read on EtoBox.

This document summarizes and analyzes previous works on using machine learning and deep learning algorithms for stock market analysis. It discusses how different algorithms like KNN, Naive Bayes, SVM, decision trees, random forest, RNN and LSTM have been applied to stock market data with varying levels of success. The key findings are that deep learning models like RNN and LSTM generally perform better than traditional machine learning algorithms for this time series prediction problem. However, the documen

Author

tushar sundriyal

Language

EN