Integrated Deployment in Action: End to End Data Science for Bioactivity Prediction

October 8, 2020 - Online

During this webinar, we will guide you through the complete journey of a data scientist: from training and selecting the best machine learning model for your data to putting your model into production and creating a simple web application.

For this, we will demonstrate a use case of bioactivity prediction.

We will:

  • Train and optimize four different machine learning methods (Naive Bayes, Logistic Regression, Random Forest, XGBoost)
  • Identify the best model to predict the activity of a compound on a particular biological target
  • Use KNIME’s new integrated deployment functionality to automatically deploy the best model
  • Create a simple web application that uses the deployed model to predict the activity of new compounds

The webinar will round off with a Q&A session. We look forward to lots of questions!

This webinar is partially supported by de.NBI: the German Network for Bioinformatics Infrastructure.


How do I join the webinar?

You’ll receive a zoom link with your registration confirmation. Make sure you have a stable internet connection!

Will I be able to ask questions?

Absolutely - fire away!

Where do I find the latest version of KNIME Analytics Platform?

Download the latest free, open source version of knime here: knime.com/download

What other resources will help me to get started in KNIME?
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