**145**
results

- Go to itemThis workflow is an example of how to build a basic prediction / classification model using a decision tree. Dataset describes wi…3
- Go to item- Prepare train and test data - Treat missing value - Finding correlation - Train a Linear Regression model - Apply trained regre…2
- Go to itemThis workflow is an example of how to build a basic prediction / classification model using logistic regression.2
- Go to itemThis workflow trains a linear regression model that predicts the amount of a credit. The performance of the linear regression mod…2
- Go to itemThis workflow demonstrates how to predict time series (energy consumption) with an autoregressive integrated moving average (ARIM…1
- Go to itemThis workflow applies an LSTM network to predict energy demand using lagged values of a time series as input.1
- Go to itemThis workflow demontstrates a mode of deploying a model with KNIME. The workflow uploads new unseen data from a local file from a…1
- Go to itemTraining a decision tree and training a random forest of decision trees. Adult.csv dataset describes US census information. Outpu…1
- Go to itemThis workflow trains and applies an LSTM network to predict energy demand using lagged values of a time series as input. In the E…1
- Go to itemThis workflow predicts the irregular component of time series (energy consumption) by autoregressive integrated moving average (A…1
- Go to itemThis workflow solves a binary classification problem on the adult dataset using more advanced algorithms: - Random Forest - Gradi…1
- Go to itemRead Keras model. Read deployment data, which are normalized into range [0,1]. Apply the Keras model to the deployment data, calc…1
- Go to itemThis workflow demontstrates a mode of deploying a model with KNIME. The workflow receives new unseen data via a REST interface, s…1
- Go to itemExercise 4 for KNIME User Training - Training a Decision Tree to predict a nominal target column - Evaluate the model performance…0
- Go to itemA regression tree model is trained to predict prices of houses in Ames, Iowa, USA. A number of numerical features are included as…0
- Go to itemSolution to the "Advanced Machine Learning Chemistry" exercise for the advanced Life Science User Training - Training a Random Fo…0
- Go to itemExercise 4 for KNIME User Training - Training a Decision Tree to predict a nominal target column - Evaluate the model performance…0
- Go to itemA linear regression model is trained to predict prices of houses in Ames, Iowa, USA. A number of numerical features are included …0