Section outline

    • In this module you'l learn how to retrieve and preprocess stock market data using Python libraries such as pandas and yfinance.

      Goals:

      learn how to retrieve and preprocess stock market data using Python libraries such as pandas and yfinance.

       Explore different feature engineering techniques to prepare stock market data for machine learning. Integrate external data sources such as news articles and social media sentiment analysis to improve stock price prediction models. Understand how to clean and transform stock market data to prepare it for machine learning.

    • Prerequisites

      Basic knowledge of Python programming language. Familiarity with data structures such as lists and dictionaries in Python. Basic understanding of machine learning concepts.

    • Module 2 SCORM package
    • data Folder