Machine Learning with Tabular & Time Series Data: Master predictive modeling with Python for structured and sequential data

Luca Massaron

Khuyen Tran

$9.99 ~~$149.99~~

Video Oct 2025 1hr 7mins 1st Edition

Luca Massaron

Khuyen Tran

$9.99 ~~$149.99~~

Video Oct 2025 1hr 7mins 1st Edition

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Key benefits

Build ML models for structured and sequential datasets
Apply forecasting, anomaly detection, and classification methods
Gain practical skills with Python libraries and real-world datasets

Description

Machine Learning with Tabular & Time Series Data equips you with the skills to design, train, and deploy predictive models that work with structured and sequential data. With real-world examples and hands-on exercises, you’ll learn how to clean and transform datasets, engineer features, and apply effective algorithms to uncover insights and drive decisions. Throughout, you’ll gain experience applying anomaly detection, backtesting strategies, and model monitoring. By the end, you’ll have a practical toolkit for building reliable ML solutions that can be applied in domains such as finance, supply chain, IoT, and retail.

Who is this book for?

This course is designed for data scientists, analysts, and ML engineers who want to build predictive solutions using tabular and time series data. A basic understanding of Python and core ML concepts is recommended. Professionals in industries such as finance, retail, manufacturing, and IoT will especially benefit from the practical skills covered, which can be directly applied to forecasting, anomaly detection, and business-critical analytics.