AI and ML Solutions with Python: Supervised, Unsupervised and Deep Learning Overview/Description Expected Duration Lesson Objectives Course Number Expertise Level Overview/Description Discover how to implement various supervised and unsupervised algorithms of machine learning using Python, with the primary focus of clustering and classification.
Expected Duration (hours)
1.6
Lesson Objectives AI and ML Solutions with Python: Supervised, Unsupervised and Deep Learning
demonstrate how to implement classification
list the various types of algorithms used in unsupervised learning
demonstrate how to implement K-Mean clustering
demonstrate how to implement hierarchical clustering
demonstrate how to facilitate text mining and work with recommender systems
demonstrate the process involved in text mining and data assembly
specify the concepts of deep and reinforcement learning
work with Restricted Boltzmann machines
build models using Convolution Neural Network
utilize data frames and centroids
Course Number: it_sdpyai_02_enus
Expertise Level
Intermediate