What options are available for specifying validation and test data in AI Platform Training with built-in algorithms?
Wednesday, 02 August 2023 by EITCA Academy
When using Google Cloud AI Platform for training machine learning models, there are several options available for specifying validation and test data when using the built-in algorithms. These options provide flexibility and control over the training process, allowing users to evaluate the performance of their models and ensure their effectiveness before deployment. One option is
How can the train_test_split function in scikit-learn be used to create training and test data?
Wednesday, 02 August 2023 by EITCA Academy
The train_test_split function in scikit-learn is a powerful tool that allows us to create training and test data sets from a given dataset. This function is particularly useful in the field of machine learning as it helps us evaluate the performance of our models on unseen data. To use the train_test_split function, we first need
- Published in Artificial Intelligence, EITC/AI/GCML Google Cloud Machine Learning, Advancing in Machine Learning, Scikit-learn, Examination review
Tagged under: Artificial Intelligence, Data Splitting, Machine Learning, Model Evaluation, Scikit-learn, Test Data