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Machine Learning : for Time Series Forecasting With Python / Francesca Lazzeri.

By: Material type: TextTextPublisher: New Delhi : Wiley India Pvt Ltd. 2025Edition: 1st edDescription: xxii,230 p.; PB 23.5 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9789363866249
Subject(s): DDC classification:
  • 1 006.31 LAZF
Contents:
Machine Learning for Time Series Forecasting with Python is full real-world examples, resources, and concrete strategies to help readers explore and transform data and develop usable, practical time series forecasts. This book is perfect for entry-level data scientists, business analysts, developers, and researchers. This book offers a comprehensive introduction to the core concepts, terminology, approaches, and applications of machine learning and deep learning for time series forecasting: understanding these principles leads to more flexible and successful time series applications. Apart from this, in this Indian Adaptation, you’ll get: ·New self-evaluation Multiple Choice, Review, and Job-Interview Questions to equip the knowledge and confidence to excel in interviews ·India-specific case studies, Time Series Forecasting for Demand Planning at Flipkart and Predictive Maintenance at Tata Steel. ·Appendix on “Enhancing Time Series Forecasting for the Indian Market”
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Holdings
Item type Current library Collection Call number Status Barcode
Book Book St Aloysius Institute of Management & Information Technology Machine Learning MCA 006.31 LAZF (Browse shelf(Opens below)) Available MCA17394
Book Book St Aloysius Institute of Management & Information Technology Machine Learning MCA 006.31 LAZF (Browse shelf(Opens below)) Available MCA17369
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Machine Learning for Time Series Forecasting with Python is full real-world examples, resources, and concrete strategies to help readers explore and transform data and develop usable, practical time series forecasts. This book is perfect for entry-level data scientists, business analysts, developers, and researchers. This book offers a comprehensive introduction to the core concepts, terminology, approaches, and applications of machine learning and deep learning for time series forecasting: understanding these principles leads to more flexible and successful time series applications.

Apart from this, in this Indian Adaptation, you’ll get:
·New self-evaluation Multiple Choice, Review, and Job-Interview Questions to equip the knowledge and confidence to excel in interviews
·India-specific case studies, Time Series Forecasting for Demand Planning at Flipkart and Predictive Maintenance at Tata Steel.
·Appendix on “Enhancing Time Series Forecasting for the Indian Market”

Machine Learning for Time Series Forecasting with Python is full real-world examples, resources, and concrete strategies to help readers explore and transform data and develop usable, practical time series forecasts. This book is perfect for entry-level data scientists, business analysts, developers, and researchers. This book offers a comprehensive introduction to the core concepts, terminology, approaches, and applications of machine learning and deep learning for time series forecasting: understanding these principles leads to more flexible and successful time series applications.

Apart from this, in this Indian Adaptation, you’ll get:
·New self-evaluation Multiple Choice, Review, and Job-Interview Questions to equip the knowledge and confidence to excel in interviews
·India-specific case studies, Time Series Forecasting for Demand Planning at Flipkart and Predictive Maintenance at Tata Steel.
·Appendix on “Enhancing Time Series Forecasting for the Indian Market”

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