@book{240849,
	author = {Lazzeri, Francesca.},
	title = {Machine Learning : },
	publisher = {Wiley India Pvt Ltd.},
	year = {2025.},
	address = {New Delhi :},
	edition = {1st ed.},
	note = {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”}
}
