02977nam a22003375i 4500 21744360 OSt 20260306144541.0 201005s2020 inu 000 0 eng 2020947403 9789363866249 21744360 DLC eng rda DLC pcc 1 006.31 LAZF Lazzeri, Francesca. 254051 Machine Learning : for Time Series Forecasting With Python / Francesca Lazzeri. 1st ed. 2011 New Delhi : Wiley India Pvt Ltd. 2025. xxii,230 p.; PB 23.5 cm. text txt rdacontent unmediated n rdamedia volume nc rdacarrier 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” Time series data preparation 254085 Introduction to neural networks for time series forecasting ddc BK 1 006.31 LAZF 240849 240849 0 0 ddc 0 0 MCA AIMIT AIMIT MACHL 2026-02-03 KL Book House 589.00 Bill no:1288; Bill dt:2026-01-23 0 006.31 LAZF MCA17369 2026-05-23 00:00:00 441.75 2026-02-09 BK 0 0 ddc 0 0 MCA AIMIT AIMIT MACHL 2026-02-23 SK Publishers & Distributors 589.00 Bill no:SKP4044;Billdt:2026/2/2 0 006.31 LAZF MCA17394 2026-05-23 00:00:00 441.75 2026-02-09 BK