Stock price analysis through Statistical and Data Science tools: An Overview (Paperback, Vinaitheerthan Renganathan)

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Table of Contents

Chapter 1: Introduction Chapter 2: R Software Chapter 3: Graphical Analysis Chapter 4: Stock price prediction using Statistical tools Chapter 8: Stock price prediction using Support Vector Machine (SVM) Chapter 5: Stock price prediction using Artificial Neural Network (ANN) Chapter 6: Stock price prediction using Decision Tree Chapter 7: Stock price prediction using Random Forest Chapter 8: Stock price prediction using Naïve Bayes method Chapter 9: Stock price prediction using Deep Learning Chapter 10: Stock price prediction using Recurrent Neural Network (RNN) Chapter 11: Stock price prediction using Long Short Term Memory (LSTM) Chapter 12: Stock price prediction using Text Mining models and Sentiment analysis

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