Objectives:
Understand the key concepts of Machine Learning, and a wide range of important algorithms such as gradient descent, linear regression, classification, and artificial neural networks with practical examples.
Key concepts and terminology Understanding scikit-learn Linear regression, gradient descent, and variations
Classification algorithms Clustering Artificial neural networks and deep learning Modeling techniques
Who should attend:
Any IT professional aspiring to get hands-on with ML