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  • Format: ePub

This comprehensive guide is your key to unraveling the mysteries hidden within sequential data, whether you're navigating financial markets, predicting climate patterns, or optimizing business operations.
From seasoned data scientists to curious beginners, this book provides a rich exploration of time series feature engineering, demystifying the complexities of temporal data analysis. Dive into the intricacies of identifying trends, capturing seasonality, and decoding the hidden patterns that define time-varying phenomena. With practical examples, hands-on exercises, and real-world…mehr

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Produktbeschreibung
This comprehensive guide is your key to unraveling the mysteries hidden within sequential data, whether you're navigating financial markets, predicting climate patterns, or optimizing business operations.

From seasoned data scientists to curious beginners, this book provides a rich exploration of time series feature engineering, demystifying the complexities of temporal data analysis. Dive into the intricacies of identifying trends, capturing seasonality, and decoding the hidden patterns that define time-varying phenomena. With practical examples, hands-on exercises, and real-world applications, you'll gain the skills to transform raw temporal data into actionable insights.

Discover the art of crafting meaningful features that empower your predictive models. Whether you're dealing with daily stock prices, hourly energy consumption, or monthly sales figures, "Temporal Insights" equips you with the knowledge to engineer features that resonate with the rhythm of your data.

Inside " Time Series Feature Engineering" you'll find:

· Foundations of Time Series Analysis: Grasp the fundamental concepts of time series data, understanding the unique challenges and opportunities it presents.

· Feature Engineering Techniques: Explore a toolkit of powerful feature engineering methods tailored for time series data, from lag features and rolling statistics to Fourier transforms and beyond.

· Advanced Topics: Delve into advanced techniques such as seasonality decomposition, anomaly detection, and handling missing values within the temporal context.

· Real-World Applications: Navigate case studies and practical examples across diverse domains, illustrating how effective time series feature engineering can drive better decision-making and predictive accuracy.

· Hands-On Exercises: Reinforce your learning with hands-on exercises and code snippets in Python, ensuring you can immediately apply the concepts to your own projects.

" Time Series Feature Engineering" is your compass through the dynamic landscape of time series feature engineering. Whether you're aiming to forecast stock prices, predict customer demand, or optimize resource allocation, this book empowers you to harness the temporal dimension of data and extract meaningful insights that stand the test of time. Elevate your data science journey with the indispensable skills offered in " Time Series Feature Engineering: Unveiling Patterns and Trends through

Time Series Feature Engineering."


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