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Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python
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Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras
Key Features- Implement machine learning algorithms to build, train, and validate algorithmic models
- Create your own algorithmic design process to apply probabilistic machine learning approaches to trading decisions
- Develop neural networks for algorithmic trading to perform time series forecasting and smart analytics