Tag: KNIME

Free Download Daniele Tonini, "Codeless Time Series Analysis with KNIME: A practical guide to implementing forecasting models for time series analysis applications"
English | 2022 | ISBN: 1803232064 | PDF | pages: 392 | 24.7 mb
Perform time series analysis using KNIME Analytics Platform, covering both statistical methods and machine learning-based methods

Free Download Christopher Greco, "Data Science Tools: R * Excel * KNIME * OpenOffice"
English | ISBN: 1683925831 | 2020 | 206 pages | MOBI | 34 MB
In the world of data science there are myriad tools available to analyze data. This book describes some of the popular software application tools along with the processes for downloading and using them in the most optimum fashion. The content includes data analysis using Microsoft Excel, KNIME, R, and OpenOffice (Spreadsheet). Each of these tools will be used to apply statistical concepts including confidence intervals, normal distribution, T-Tests, linear regression, histograms, and geographic analysis using real data from Federal Government sources.

Free Download Practical Machine Learning Illustrated with KNIME by Yu Geng , Qin Li , Geng Yang , Wan Qiu
English | PDF EPUB (True) | 2024 | 312 Pages | ISBN : 9819739535 | 107.5 MB
This book guides professionals and students from various backgrounds to use machine learning in their own fields with low-code platform KNIME and without coding. Many people from various industries need use machine learning to solve problems in their own domains. However, machine learning is often viewed as the domain of programmers, especially for those who are familiar with Python. It is too hard for people from different backgrounds to learn Python to use machine learning. KNIME, the low-code platform, comes to help. KNIME helps people use machine learning in an intuitive environment, enabling everyone to focus on what to do instead of how to do.

Free Download Productizing Data Applications with KNIME Business Hub
Released: 08/2024
Duration: 56m | .MP4 1280×720, 30 fps(r) | AAC, 48000 Hz, 2ch | 153 MB
Level: Advanced | Genre: eLearning | Language: English
Complementing the free and open source KNIME Analytics Platform, KNIME Business Hub provides a single, customer-managed environment for all data workers to collaborate on and deploy data science solutions across an organization.

Free Download Low Code No-Code Data Literacy with KNIME From Basic to Advanced
Released 5/2024
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 2h 18m | Size: 298 MB
Low-code/no-code data analytics tools have been instrumental in enabling the transition from manual, code-heavy, and resource-intensive environments to an automated, scalable, and insights-driven focus. Instead of commands, low-code/no-code platforms have built-in functionality that enables users to start creating data science applications via a drag-and-drop interface. In contrast to coding approaches, low-code/no-code technologies offer an opportunity for users to concentrate on data science and less on the lines of code. The intuitive visual environment also enables business users with less technical skills to build and consume applications. In this course, learn how to use KNIME Analytics Platform to access, blend, analyze and visualize data in a low-code/no-code environment. For anyone who works with data, this course can take your data literacy to the next level by learning how to use a tool that makes sophisticated data analytics accessible to non-technical people.

Free Download Predictive Analytics with KNIME: Analytics for Citizen Data Scientists
English | 2023 | ISBN: 3031456297 | 327 Pages | PDF EPUB (True) | 42 MB
This book is about data analytics, including problem definition, data preparation, and data analysis. A variety of techniques (e.g., regression, logistic regression, cluster analysis, neural nets, decision trees, and others) are covered with conceptual background as well as demonstrations of KNIME using each tool.

Free Download Codeless Time Series Analysis with KNIME: A practical guide to implementing forecasting models for time series analysis applications by Corey Weisinger, Maarit Widmann, Daniele Tonini
English | August 19, 2022 | ISBN: 1803232064 | 392 pages | MOBI | 27 Mb
Perform time series analysis using KNIME Analytics Platform, covering both statistical methods and machine learning-based methods

Free Download Getting Started with KNIME AI – A Beginner’s Guide
Published 9/2023
Created by Dan We
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 16 Lectures ( 2h 34m ) | Size: 818 MB