Chapter 2. Stock Market Price Prediction

In this chapter, we will cover an amazing application that belongs to predictive analysis. I hope the name of the chapter has already given you a rough idea of what this chapter is going to be all about. We will try to predict the price of the stock index. We will apply some modern machine learning techniques as well as deep learning techniques.

We will cover the following topics in this chapter:

• Introducing the problem statement

• Collecting the dataset

• Understanding the dataset

• Data preprocessing and data analysis

• Feature engineering

• Selecting the Machine Learning (ML) algorithm

• Training the baseline model

• Understanding the testing matrix

• Testing the baseline model

• Exploring problems with the existing approach

• Understanding the revised approach

  • Understanding concepts and approaches

• Implementing the revised approach

  • Testing the revised approach

  • Understanding problems with the revised approach

• The best approach

• Summary

So, let's get started!