<aside> 📚 Core Concepts
These are some introductory concepts about time series and Python. This week is optional, if you have prior knowledge of these topics you can start with week 1.
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<aside> 💡 Pro Tip
As you review these materials, try to implement the concepts using the stock data you'll use for your project. This hands-on approach will help solidify your understanding and prepare you for the assignments ahead.
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<aside> 📚 Core Concepts
This week, you will focus on preparing stock data, extracting features, and understanding the role of sentiment analysis in financial forecasting. By the end of this week, you should be able to process stock price data, engineer features, and prepare text data for sentiment analysis.
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<aside> 📚 Core Concepts
This week, we will learn about Reinforcement Learning. Reinforcement learning is a type of machine learning where an agent learns to make decisions by performing actions in an environment to maximize cumulative rewards.
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