{"product_id":"time-series-forecasting-with-python-deploying-and-managing-machine-learning-models-in-production-9798292154167","title":"Time Series Forecasting with Python: Deploying and Managing Machine Learning Models in Production","description":"\u003cp\u003e • Author(s): Booker Blunt\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Languages - Python\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eMaster time series forecasting and bring your machine learning models into production.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eTime Series Forecasting with Python\u003c\/b\u003e is the essential guide to building and deploying time series models with Python. Whether you're predicting stock prices, sales forecasts, or weather patterns, this book shows you how to develop robust models and get them into production, seamlessly integrating them into real-world applications.\u003c\/p\u003e\u003cp\u003eYou'll learn how to apply machine learning algorithms for time series forecasting, fine-tune models for accuracy, and take them from development to live deployment-while handling challenges like data drift and performance monitoring.\u003c\/p\u003e\u003cp\u003eInside, you'll learn how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cp\u003eUnderstand the fundamentals of time series data and forecasting\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003ePreprocess and clean time series data for modeling\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eBuild and evaluate forecasting models using \u003cb\u003eARIMA\u003c\/b\u003e, \u003cb\u003eProphet\u003c\/b\u003e, and \u003cb\u003eLSTM\u003c\/b\u003e\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eApply machine learning techniques like \u003cb\u003eXGBoost\u003c\/b\u003e and \u003cb\u003eRandom Forest\u003c\/b\u003e to time series data\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eUse Python libraries like \u003cb\u003epandas\u003c\/b\u003e, \u003cb\u003estatsmodels\u003c\/b\u003e, and \u003cb\u003escikit-learn\u003c\/b\u003e\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eAutomate forecasting with pipelines and batch predictions\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eDeploy models to cloud platforms like \u003cb\u003eAWS\u003c\/b\u003e, \u003cb\u003eGoogle Cloud\u003c\/b\u003e, or \u003cb\u003eAzure\u003c\/b\u003e\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eMonitor model performance in production, and update models as needed\u003c\/p\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cp\u003eIntegrate time series forecasting into real-world applications like dashboards and APIs\u003c\/p\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWith hands-on examples, complete code snippets, and deployment tips, you'll be able to take your forecasting models from prototype to production and ensure they continue to perform well in a dynamic environment.\u003c\/p\u003e\u003cp\u003eWhether you're a data scientist, software engineer, or business analyst, \u003cb\u003eTime Series Forecasting with Python\u003c\/b\u003e equips you with the tools to solve complex forecasting problems and deploy reliable models at scale.\u003c\/p\u003e","brand":"Atlantic Books","offers":[{"title":"Paperback","offer_id":46334655627415,"sku":"9798292154167","price":1683.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798292154167.webp?v=1768672767","url":"https:\/\/atlanticbooks.com\/products\/time-series-forecasting-with-python-deploying-and-managing-machine-learning-models-in-production-9798292154167","provider":"Atlantic Books","version":"1.0","type":"link"}