Data analyzing and Machine Learning Hands-on with KNIME
Hands-on crash course guiding through codeless, user-friendly, free data science software KNIME Analytics Platform
4.48 (399 reviews)
2,224
students
4.5 hours
content
May 2024
last update
$59.99
regular price
What you will learn
Machine Learning in codeless KNIME Analytics Platform from A to Z – Classification and Regression
Machine Learning models - Regression (simple linear, multilinear, polynomial, decision tree, random forest)
Machine Learning models - Classification (decision tree, random forest, naive bayes, SVM, gradient booster)
Data preparation for the machine learning predictive model with KNIME nodes
Machine Learning model´s performance evaluation (confusion matrix, accuracy ratio, R squared)
Collecting different data sources at one place
Exploring data to understand its trend, relations etc.
Using and working with Metanodes and Components
Data normalization
Outliers detection
Understand KNIME environment, work with the workflow files and KNIME nodes
Transform data by using basic KNIME nodes
Visualize data by using charts, plots and statistics KNIME nodes (line plot, scatter plot, correlation matrix, box plot, histogram)
Understand the basic theory and its importance of the AI, Big Data, Data Science and Machine Learning including several techniques
Install and be able to work with the KNIME Analytics Platform environment
Find help and advice when working with KNIME
Screenshots
Related Topics
2112202
udemy ID
12/28/2018
course created date
11/21/2019
course indexed date
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