Supervised and Unsupervised Learning with Python
An introduction to world of Artificial Intelligence
Created by Prateek Joshi
Explore the core concepts of supervised and unsupervised learning using Python. Gain hands-on experience with real-world AI applications and discover how to apply predictive analytics and deep learning techniques to solve practical problems.
Packt | Nov 2017 | 128 min
What You Will Learn
You will start by exploring the foundations of supervised and unsupervised learning, then move on to practical exercises that reinforce each concept. Through clear explanations and hands-on coding examples, you will learn how to implement algorithms and analyze results using Python.
Key Features
- Apply classification, regression, and clustering techniques to real data
- Build intelligent recommender systems using Python libraries
- Understand and implement key AI algorithms for practical scenarios
Target Audience
Perfect for Python developers with some programming experience who want to expand their skills into AI and machine learning. If you are looking to apply AI techniques to real projects or enhance your understanding of predictive analytics, you will find this course especially valuable.
