03345nam a22003495i 450000100090000000300040000900500170001300800410003001000170007102000180008803500130010604000230011904200080014208200200015010000320017024500870020225000120028926300090030126400450031030000310035533600260038633700280041233800270044050009950046750509950146265000410245765000640249894200280256299900190259095201860260995202000279521744360OSt20260306144541.0201005s2020    inu           000 0 eng    a  2020947403  a9789363866249  a21744360  aDLCbengerdacDLC  apcc  21a006.31bLAZF1 aLazzeri, Francesca.925405110aMachine Learning : bfor Time Series Forecasting With Python /cFrancesca Lazzeri.  a1st ed.  a2011 1aNew Delhi :bWiley India Pvt Ltd.c2025.  axxii,230 p.;bPBc23.5 cm.  atextbtxt2rdacontent  aunmediatedbn2rdamedia  avolumebnc2rdacarrier  aMachine 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”  rMachine 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”  aTime series data preparation9254085  2Introduction to neural networks for time series forecasting  2ddccBKe1k006.31 LAZF  c240849d240849  00102ddc40708MCAaAIMITbAIMITcMACHLd2026-02-03eKL Book Houseg589.00iBill no:1288; Bill dt:2026-01-23l0o006.31 LAZFpMCA17369r2026-05-23 00:00:00v441.75w2026-02-09yBK  00102ddc40708MCAaAIMITbAIMITcMACHLd2026-02-23eSK Publishers & Distributorsg589.00iBill no:SKP4044;Billdt:2026/2/2l0o006.31 LAZFpMCA17394r2026-05-23 00:00:00v441.75w2026-02-09yBK