TY  - BOOK
AU  - Lazzeri,Francesca
TI  - Machine Learning : : for Time Series Forecasting With Python 
SN  - 9789363866249
U1  - 006.31 1
PY  - 2025///
CY  - New Delhi
PB  - Wiley India Pvt Ltd.
KW  - Time series data preparation
KW  - Introduction to neural networks for time series forecasting
N1  - 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”
ER  -