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XGBoost Library

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible, and portable. It implements machine learning algorithms under the Gradient Boosting framework. XGBoost provides a parallel tree boosting (also known as GBDT, GBM) that solves many data science problems quickly and accurately. The same code runs on significant distributed environments (Hadoop, SGE, MPI) and can solve problems beyond billions of examples.

TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow

TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow

This Edureka video provides you with a basic introduction to TensorFlow: The fantastic deep learning framework by Google. Below are the topics covered in this video: Complete Tensorflow Playlist: https://www.youtube.com/playlist?list… PG in Artificial Intelligence and Machine Learning with NIT Warangal: https://www.edureka.co/post-graduate/… Post Graduate Certification in Data Science with IIT Guwahati […]

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