Machine Learning for Time-Series with Python
The book contains the most common as well as state-of-the-art methods in machine learning for time-series, and examples that every data scientist or analyst would have encountered, if not in their job, then in a job interview.
Offered by
Difficulty Level
Intermediate
Completion Time
12h20m
Language
English
About Book
Who Is This Book For?
This book is ideal for data analysts, data scientists, and Python developers who want instantly useful and practical recipes to implement today, and a comprehensive reference book for tomorrow. Basic knowledge of the Python Programming language is a must, while familiarity with statistics will help you get the most out of this book.
Machine Learning for Time-Series with Python
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 12h20m total length
Introduction to Time-Series with Python
Time-Series Analysis with Python
Preprocessing Time-Series
Introduction to Machine Learning for Time Series
Forecasting with Moving Averages and Autoregressive Models
Unsupervised Methods for Time-Series
Machine Learning Models for Time-Series
Online Learning for Time-Series
Probabilistic Models for Time-Series
Deep Learning for Time-Series
Reinforcement Learning for Time-Series
Multivariate Forecasting
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