Description
Machine Learning for Time Series Forecasting with Python is an Indian adaptation that bridges theoretical concepts with practical implementation. This book equips data scientists and analysts with essential skills to build accurate forecasting models using Python.
The adaptation incorporates real-world examples relevant to the Indian context, including financial markets, weather prediction, and demand forecasting. Readers will learn various machine learning algorithms, from classical statistical methods to advanced deep learning approaches for time series analysis.
The book covers data preprocessing, feature engineering, model evaluation, and deployment strategies. It provides hands-on guidance through code examples and case studies, making complex concepts accessible to both beginners and experienced practitioners. Perfect for professionals seeking to enhance their forecasting capabilities.
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