Codeless Time Series Analysis with KNIME
This book will take you through time series analysis techniques and algorithms, from both statistical and machine learning domains. It will introduce you to the KNIME Analytics Platform and its time series extension for implementing practical solutions for demand prediction, signal classification, signal forecasting, and anomaly detection.
Offered by
Difficulty Level
Intermediate
Completion Time
13h4m
Language
English
About Book
Who Is This Book For?
This book is for data analysts and data scientists who want to develop forecasting applications on time series data. While no coding skills are required thanks to the codeless implementation of the examples, basic knowledge of KNIME Analytics Platform is assumed. The first part of the book targets beginners in time series analysis, and the subsequent parts of the book challenge both beginners as well as advanced users by introducing real-world time series applications.
Codeless Time Series Analysis with KNIME
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 13h4m total length
Introducing Time Series Analysis
Introduction to KNIME Analytics Platform
Preparing Data for Time Series Analysis
Time Series Visualization
Time Series Components and Statistical Properties
Humidity Forecasting with Classical Methods
Forecasting the Temperature with ARIMA and SARIMA Models
Audio Signal Classification with an FFT and a Gradient Boosted Forest
Training and Deploying a Neural Network to Predict Glucose Levels
Predicting Energy Demand with an LSTM Model
Anomaly Detection – Predicting Failure with No Failure Examples
Predicting Taxi Demand on the Spark Platform
GPU Accelerated Model for Multivariate Forecasting
Combining KNIME and H2O to Predict Stock Prices
Related Resources
Access Ready-to-Use Books for Free!
Get instant access to a library of pre-built books—free trial, no credit card required. Start training your team in minutes!