Data analyzing and machine learning Hands-on with KNIME
$19.99 Track price
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 on real data sets.
We will create machine learning models within the standard machine learning process way, which consists from:
– acquiring data by reading nodes into the KNIME software (the data frames are available in this course for download)
– pre–processing and transforming data to get well prepared data frame for the prediction
– visualizing data with KNIME visual nodes (we will create basic plots and charts to have clear picture about our data)
– creating machine learning predictive models and evaluating them:
1. Decision Tree Classification
2. Simple linear Regression
from 11.2.2019 newly added:
3. Decision Tree Regression
4. Random Forest Regression
5. Random Forest Classification
6. Polynomial Regression (+ info about multi linear Regression – for Knime same nodes)
7. Naive Bayes
8. K nearest neighbors
9. Grandient booster Regression
10. Grandient booster Classification
I will also explain the Knime Analytics Platform environment, guide you through the installation , and show you where to find help and hints.
Courses : 1
Specification: Data analyzing and machine learning Hands-on with KNIME
8 reviews for Data analyzing and machine learning Hands-on with KNIME
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Steve Ollington –
Course is good over all, and the first 75% is excellent but the last few modules seem a bit rushed, with the complexity of the predictions, etc… being brushed over too quickly without enough detail or explanation into what is happening and why.
Ana Claudia Silva –
O curso bom para iniciantes, mas acho que faltou a finaliza o.. tipo como fazer o link da data vizualization para um Power BI, por exemplo.. o Resultado final em si… como este trabalho poderia ser apresentado, os Dashboard ou teriamos que cliclar em cada n do quadro das New Tecniques para demostrar os graficos?
Mahendra Singh –
good experience. I can visualise how it can help in my projects
Sameeta Narkar –
I like that the course is completely hands on where you can keep tagging along with what is being demonstrated in each lesson. Good for beginners who want to build a strong understanding of the basic technicalities and concepts in KNIME.
Kamal Gupta –
I feel that the pace of explanation is too fast for foundation / basic concepts. I am able to follow the course so far as I am already familiar with the ML techniques, confusion metrics, etc. While the instructor took enough time to explain the data wrangling aspects of KNIME, actual ML techniques usages was a bit rushed through. Otherwise, overall a good course for anyone to get familiar with KNIME and get started.
Marios Kolios –
Very interesting overview of a powerful tool.
Patrick de Groot –
Tot zover goed, de ondertiteling wijkt wel vaak af van wat er daadwerkelijk wordt gezegd, is overduidelijk automatisch gegenereerd.