kn_example_ml_regression_housing_prices
Score Kaggle House Prices: Advanced Regression Techniques - prepare data with vtreat - use H2O.ai nodes and other models - measure results with […]
09_Wide_and_Deep_Learning_on_Census_Dataset
This workflow shows one way of applying deep learning to tabular data. The main focus of the workflow lies on data preparation and semi-automatic network […]
19_Slice_Loop
This workflow shows how to iterate over 2D-planes of an image using a Slice Loop. This may be useful for nodes that only work for 2D input.
Machine Learning Fraud Detection Pipeline
This workflow streamlines fraud detection by integrating data importation, preprocessing, and sophisticated feature engineering with machine learning. It […]
Big Data Fraud Detection Pipeline
This workflow streamlines fraud detection by integrating data importation, preprocessing, and sophisticated feature engineering with machine learning. It […]
LinearRegression-LegoSet
The workflow trains a Linear Regression model to predict the price of a Lego set based on it's various features. It includes the process of: - Loading the […]
CN-151 Geographic Features Node v05
[Community Nodes] CN-151 Geographic Features Node The Geographic Feature node calculates the 'Lost Value' of each Product due to shipping costs, waiting […]