Icon03_​Random_​Forest_​solution 

Random Forest - solution Introduction to Machine Learning Algorithms course - Session 2 Solution to exercise 3 - Train a random forest model - Apply the […]

Icon06_​Simple_​Neural_​Network_​solution 

Introduction to Machine Learning Algorithms course - Session 3 Solution to exercise 1 - Train a fully connected neural network - Apply the trained network […]

IconAccess, preprocess and monitor electricity consumption data 

This workflow demonstrates how to perform common spreadsheet user's tasks in KNIME, such as - Data blending, - Data cleaning, - Data aggregation, and - Data […]

Icon04_​Logistic_​Regression_​exercise 

Logistic Regression - exercise Introduction to Machine Learning Algorithms course - Session 2 Exercise 4 - Train a logistic regression model - Apply the […]

Icon01_​Linear_​Regression_​solution 

Linear Regression - solution Introduction to Machine Learning Algorithms course - Session 2 Solution to exercise 1 - Partition data into training and test […]

Icon01_​Simple_​Neural_​Network_​exercise 

Simple Neural Network - exercise Introduction to Machine Learning Algorithms course - Session 3 Exercise 1 - Train a fully connected neural network - Apply […]

Icon01_​Linear_​Regression_​exercise 

Linear Regression - exercise Introduction to Machine Learning Algorithms course - Session 2 Exercise 1 - Partition data into train and test set - Train a […]

Icon03_​Random_​Forest_​solution 

Random Forest - solution Introduction to Machine Learning Algorithms course - Session 2 Solution to exercise 3 - Train a random forest model - Apply the […]

Icon01_​Simple_​Neural_​Network_​solution 

Simple Neural Network - solution Introduction to Machine Learning Algorithms course - Session 3 Solution to exercise 1 - Train a fully connected neural […]

Icon02_​Regression_​Tree_​exercise 

Regression Tree - exercise Introduction to Machine Learning Algorithms course - Session 2 Exercise 2 - Partition data into train and test set - Train a […]