Machine Learning with Scikit-Learn and TensorFlow: 2-in-1

Scikit-learn has evolved as a robust library for machine learning applications in Python with support for a wide range of supervised and unsupervised learning algorithms. TensorFlow is quickly becoming the technology of choice for deep learning, because of its ease to build powerful and sophisticated neural networks. To perform traditional machine learning tasks in supervised learning and unsupervised learning using cutting-edge techniques from deep learning, you need to be familiar with Python and basic machine learning concepts. This comprehensive 2-in-1 course teaches you how to perform your day-to-day machine learning tasks with Scikit-learn and TensorFlow. It's a perfect blend of concepts and practical examples which makes it easy to understand and implement.