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)
1.5

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
  • Course Number:
    it_sdpyai_02_enus

    Expertise Level
    Intermediate