67 results
- Go to itemThis workflow is an example of how to train a basic machine learning model for a churn prediction task. In this case, we use a De…5
- Go to itemThis workflow performs customer segmentation by means of k-Mean clustering. The second part of the workflow implements an interac…5
- Go to itemThis workflow shows how to import text from a csv file, convert it to documents, preprocess the documents and transform them into…4
- Go to itemIn this use case, we will use the NYC taxi dataset and a Random Forest to train a simple time series prediction model to predict …4
- Go to itemThis workflow demonstrates a technique to deploy a model prediction workflow as a web service and to validate that it is doing wh…3
- Go to itemThis workflow is designed to collect and store a sample of tweets on a particular search term. With each execution of the workflo…3
- Go to itemThis workflow tests the performance of previously trained auto-regressive models for anomaly detection: - Filter the data to the …2
- Go to itemIn this use case, we will use the NYC taxi dataset and a Random Forest to train a simple time series prediction model to predict …2
- Go to itemThis workflow implements a basic customer segmentation through a clustering procedure. No input is required from the business ana…2
- Go to itemIn this workflow we will: - Read the dataset listing tweets with hashtag #KNIME around the week of July 12, 2018 - Row filter and…2
- Go to itemThe goal of this workflow is to do spam classification using YouTube comments as the dataset. The workflow starts with a data tab…2
- Go to itemThe probability of default is a metric that lenders use to assess risk on customers, group them into similar risk bands, and dete…1
- Go to itemThis workflow, the deployment workflow, reads the trained model, as well as the new transaction and applies the model to classify…1
- Go to itemUses a character level encoder-decoder network of LSTMs. The encoder network reads the input sentence character by character and …1
- Go to itemThis workflow takes pre-built association rules and applies them to a new set of data 1. Read Association Rules and Product data …1
- Go to itemThe goal of the text processing part of the workflow is to identify the general mood of a user e.g. positive, negative or neutral…1
- Go to itemThis workflow implements an alarm system for bycicle restocking at Washington bike stations. The dataset is the bike dataset. Pro…1
- Go to itemThis workflow is an example of how to train a basic machine learning model for a churn prediction task. In this case we use a Dec…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