Challenge_Round_8
<p><strong>Event Planning with Geo-GenAI</strong></p><p></p><p><strong>Challenge description:</strong></p><p>The Event Manager in your tech company needs […]
Challenge_Round_8
<p><strong>Event Planning with Geo-GenAI</strong></p><p></p><p><strong>Challenge description:</strong></p><p>The Event Manager in your tech company needs […]
Challenge_Round_8
<p><strong>Getting Recommendations for your Meals</strong></p><p></p><p><strong>Challenge description:</strong></p><p>You work as a data scientist at […]
kn_example_python_iris_2021
Simple example to make a random forest model with new Python Scrip in KNIME 4.5 using the iris dataset. Saving and reusing the model with Pickle Also […]
Challenge_Round_8
<p><strong>Getting Recommendations for your Meals</strong></p><p></p><p><strong>Challenge description:</strong></p><p>You work as a data scientist at […]
kn_dl_03_fine_tune_vgg16_python
Instead of creating our own network architecture as in the previous workflow "Train simple CNN", in this workflow we use the pre-trained network […]
kn_dl_02_train_simple_cnn
In this workflow we create a simple Convolutional Neural Network using the DL Python Network Creator. We train this network on our image data using the DL […]
Challenge_Round_8
<p><strong>Predicting User Clicks on an Ad</strong></p><p></p><p><strong>Challenge description:</strong></p><p>You work as a data scientist for a consulting […]
Challenge_Round_8
<p><strong>Predicting User Clicks on an Ad</strong></p><p></p><p><strong>Challenge description:</strong></p><p>You work as a data scientist for a consulting […]
Challenge_Round_4
<p><strong>A Comprehensive Analysis and Prediction of Zoo Animals</strong></p><p></p><p><strong>Challenge description:</strong></p><p>You work as a […]