40 results
- Go to itemThis workflow uses a Kaggle Dataset including 14K customer tweets towards six US airlines (https://www.kaggle.com/crowdflower/twi…1
- Go to itemThis workflow uses a simple example to demonstrate one possible structure for an active learning application and compares the eff…1
- Go to itemThis KNIME workflow focuses on creating a credit scoring model based on historical data. As with all data mining modeling activit…0
- Go to itemThis KNIME workflow focuses on creating a credit scoring model based on historical data. As with all data mining modeling activit…0
- Go to itemThis KNIME workflow focuses on creating a credit scoring model based on historical data. As with all data mining modeling activit…0
- Go to itemThis KNIME workflow focuses on creating a credit scoring model based on historical data. As with all data mining modeling activit…0
- Go to itemThis KNIME workflow focuses on creating a credit scoring model based on historical data. As with all data mining modeling activit…0
- Go to itemThis KNIME workflow focuses on creating a credit scoring model based on historical data. As with all data mining modeling activit…0
- Go to itemThis workflow uses a simple example to demonstrate one possible structure for an active learning application and compares the eff…0
- Go to itemThis KNIME workflow focuses on creating a credit scoring model based on historical data. As with all data mining modeling activit…0
- Go to itemThis KNIME workflow focuses on creating a credit scoring model based on historical data. As with all data mining modeling activit…0
- Go to itemThis worflow applies an RF model, trained on the Kaggle Dataset (https://www.kaggle.com/crowdflower/twitter-airline-sentiment), o…0
- Go to itemThis KNIME workflow focuses on creating a credit scoring model based on historical data. As with all data mining modeling activit…0
- Go to itemThis worflow applies an SVM model, trained on the Kaggle Dataset (https://www.kaggle.com/crowdflower/twitter-airline-sentiment), …0
- Go to itemThis workflow creates a credit scoring model based on historical data. As with all data mining modeling activities, it is unclear…0
- Go to itemThis workflow creates a credit scoring model based on historical data. As with all data mining modeling activities, it is unclear…0
- Go to itemThis is how to apply normalization correctly in a data science problem. The normalization model is built on the training set and …0
- Go to itemThis KNIME workflow focuses on creating a credit scoring model based on historical data. As with all data mining modeling activit…0
- Go to itemExercise for SVM. Classification of 2D silhouette attributes with SVM classifier. Oprimize the c parameter for the margin hardnes…0