Keras and Tensorflow with Grid Search Cross Validation | IRIS Data Keras and TensorFlow are two powerful libraries that are used for building and training machine learning models. Keras is a high-level neural networks API, written in Python, that runs on top of TensorFlow. It is designed to make it easy to build and train …
Day: January 5, 2020
SKLEARN XGBoost Classifier with Grid Search Cross Validation XGBoost is a powerful and efficient implementation of the Gradient Boosting algorithm that is used to classify items into different categories. It is an ensemble method that combines the predictions of multiple weak models, such as decision trees, to make a final prediction. The technique uses …