This plan includes
- Limited free courses access
- Play & Pause Course Videos
- Video Recorded Lectures
- Learn on Mobile/PC/Tablet
- Quizzes and Real Projects
- Lifetime Course Certificate
- Email & Chat Support
What you'll learn?
- Machine Learning in KNIME Analytics Platform – Classification and Regression
- Data preparation for the machine learning predictive model with KNIME nodes
- Machine Learning performance evaluation
- Collecting different data sources at one place
- Transforming data by using basic KNIME nodes
- Visualizing data
- Install and be able to work with the KNIME Analytics Platform environment
Course Overview
The goal of this course is to gain knowledge how to use open source Knime Analytics Platform for data analysis and machine learning predictive models.
We will create machine learning models in standard machine learning process way, which consists in:
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data collection with reading nodes into the KNIME software (the data frames are available in this course for download)
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pre-processing and transforming data to get well prepared data frame for the prediction
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visualizing data with KNIME visual nodes (we will create basic plots and charts to have clear picture about our data)
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creating machine learning predictive models and evaluating them:
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Simple linear Regression
- Polynomial Regression
- Decision Tree
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Random Forest Regression
- Naive Bayes
- KNN
- Gradient booster
I will also explain the Knime Analytics Platform environment, guide you through the installation , and show you where to find help and hints.
Pre-requisites
- Access to computer or laptop with Windows (32bit or 64 bit), Linux (64bit) or Mac (64bit) and with permission to download softwares (if not, ask your administrator to download it for you – it is common at company´s computers)
- No prior knowledge required
Target Audience
- anyone searching user-friendly, easily understandable, codeless and highly useful tool for data analyzing and machine learning tasks without necessity to have programming skills
Curriculum 27 Lectures 01:51:32
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Section 1 : Introduction
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Section 2 : KNIME environment
- Lecture 1 :
- KNIME installation
- Lecture 2 :
- KNIME description
- Lecture 3 :
- KNIME workflow
- Lecture 4 :
- KNIME installation - versions
-
Section 3 : Data collection
- Lecture 1 :
- Data collection
- Lecture 2 :
- Files to be downloaded
- Lecture 3 :
- Files to be downloaded II
- Lecture 4 :
- Files to be downloaded III
- Lecture 5 :
- Files to be downloaded IV
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Section 4 : Data preparation and transformation
- Lecture 1 :
- Data preparation - for classification
- Lecture 2 :
- Data preparation - for classification II
- Lecture 3 :
- Data preparation - for regression
- Lecture 4 :
- Data visualization I
- Lecture 5 :
- Data visualization II
- Lecture 6 :
- Data visualization III
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Section 5 : Machine Learning
- Lecture 1 :
- Machine Learning intro
- Lecture 2 :
- Machine learning - decision tree
- Lecture 3 :
- Machine learning - regression
- Lecture 4 :
- Machine learning - regression II
- Lecture 5 :
- Machine learning - decision tree for regression
- Lecture 6 :
- Machine Learning - random forest
- Lecture 7 :
- Machine learning - multiple and polynomial regression
- Lecture 8 :
- Machine learning - KNN and Naive Bayes
- Lecture 9 :
- Machine learning - gradient booster
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Section 6 : Conclusion
- Lecture 1 :
- Conclusion
- Lecture 2 :
- All documents are available on OneDrive
Our learners work at
Frequently Asked Questions
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How do i access the course after purchase?
It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time. -
Are these video based online self-learning courses?
Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic. -
Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on. -
How do i contact the instructor for any doubts or questions?
Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want. -
Do i need a pc to access the course or can i do it on mobile & tablet as well?
Brilliant question? Isn't it? You can access the courses on any device like PC, Mobile, Tablet & even on a smart tv. For mobile & a tablet you can download the Learnfly android or an iOS app. If mobile app is not available in your country, you can access the course directly by visting our website, its fully mobile friendly. -
Do i get any certificate for the courses?
Yes. Once you complete any course on our platform along with provided assessments by the instructor, you will be eligble to get certificate of course completion. -
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Is there any free trial?
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Can i cancel anytime?
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