pstrongExplore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and KerasstrongppbrppstrongKey Features strongpulliImplement machine learning algorithms to build, train, and validate algorithmic modelsliliCreate your own algorithmic design process to apply probabilistic machine learning approaches to trading decisionsliliDevelop neural networks for algorithmic trading to perform time series forecasting and smart analyticsliulpbrppstrongBook Description strongppThe explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning ML. This book enables you to use a broad range of supervised and unsupervised algorithms to extract signals from a wide variety of data sources and create powerful investment strategies.ppbrppThis book shows how to access market, fundamental, and alternative data via API or web scraping and offers a framework to evaluate alternative data. You'll practice the ML work6