Udemy – Machine Learning Masterclass 2025-3

Udemy – Machine Learning Masterclass 2025-3 Downloadly IRSpace

Apr 18, 2025 - 19:10 Updated: Aug 17, 2025 - 18:51

0 0

Udemy – Machine Learning Masterclass 2025-3

Machine Learning Masterclass is a machine learning course published by Udemy Online Academy. This course provides a comprehensive introduction to machine learning, covering fundamental concepts, algorithms, and real-world applications. It explores key topics such as supervised and unsupervised, regression, classification, clustering, and topics. Students learn how to preprocess data, train models, evaluate performance, and tune meta-parameters for optimal results. The course also includes hands-on experience with popular libraries such as Scikit-Learn, TensorFlow, and PyTorch, as well as techniques for model deployment and adoption.

Whether you’re a beginner looking to enter the field or an experienced professional looking to deepen your understanding, this course offers a structured, hands-on approach to machine learning that covers both theoretical concepts and implementation. In the end, learners will have a strong foundation in machines that can build predictive models, analyze them, and apply AI-based analytics across a variety of domains.

What you will learn in Machine Learning Masterclass:

Understand machine learning principles and its real-world applications
Implement ML models using Python, TensorFlow, PyTorch, and Scikit-learn
Preprocess data, perform feature engineering, and optimize models effectively
Build, evaluate, and deploy ML models for classification, regression, and clustering
And…

Course specifications

Publisher: Udemy
Instructors: Advancedor Academy
Language: English
Level: Intermediate
Number of Lessons: 121
Duration: 26 hours and 3 minutes

Course topics

Machine Learning Masterclass Content

Machine Learning Masterclass Prerequisites

No prior knowledge of Machine Learning is required. The course covers everything from the basics.
Basic Python programming knowledge is helpful but not mandatory. A Python introduction section is included.
A computer with internet access and the ability to install Python-related libraries.
Enthusiasm to learn and apply Machine Learning concepts in real-world scenarios.