Exercise to perform basic operations in KNIME: - Read data - Filter rows - Filter columns - Write and plot data

Numeric scorer: compare performance of two regression models

Confusion matrix: evaluate the performance of a classification model

ROC Curve: compare the performance of two classification models

Ensembles: binary classification of house ranking (high/low rank). - Random forest - Gradient Boosted Trees - Training - Evaluati…

Regression Tree: predict house price. - Partition data into training and test set - Train a regression tree model - Apply the tra…

Decision Tree: binary classification of house ranking (high/low rank). - Create target column - Filter unnecessary columns - Spli…

ROC Curve: compare the performance of two classification models

Confusion matrix: evaluate the performance of a classification model

- Filter rows - Train a k-Means model - Visualize clustered entries on Scatter plot and OSM Map - Calculate Silhouette Coefficien…

Numeric scorer: compare performance of two regression models

- Filter rows - Train a k-Means model - Visualize clustered entries on Scatter plot and OSM Map - Calculate Silhouette Coefficien…

In this exercise you will create a simple Feedforward Neural Network to predict the income class of a person in the adult dataset…

In this exercise you will use a previously trained neural network to predict some unseen data.

In this exercise you will create a simple Feedforward Neural Network to predict the income class of a person in the adult dataset…

In this exercise you will use a previously trained neural network to predict some unseen data.

Exercise for SVM. Classification of 2D silhouette attributes with SVM classifier. Oprimize the c parameter for the margin hardnes…

Exercise for SVM. Classification of 2D silhouette attributes with SVM classifier. Oprimize the c parameter for the margin hardnes…

Train a LSTM model to perform text generation. - Define a suitable network structure - Train the model using the preprocessed dat…

Use a trained LSTM model to perform free text generation. - Predict the next character given a starting sequence - Use different …