Beginner
12 Lessons
2h 30min
Certificate of Completion
Takeaway Skills
An understanding of the fundamentals of machine learning (ML) in data-driven decision-making processes
Familiarity with essential libraries and tools used for data preprocessing
Knowledge of practical applications of ML in image processing, computer vision, text analysis, and natural language processing (NLP)
Proficiency in distinguishing between different types of ML approaches
An understanding of the distinctions between ML methodologies and its advanced concepts
Course Overview
This course offers a thorough initiation into the field of machine learning (ML), a branch of artificial intelligence focussing on creating and analyzing statistical algorithms capable of generalizing and executing tasks autonomously, without requiring explicit programming instructions. The course encompasses fundamental concepts showcasing the use of Python and its key libraries in practical coding examples. It delves into crucial areas, including an exploration of common libraries and tools used in ML t...
Course Content
Introduction to Machine Learning
Common Libraries and Tools for Machine Learning Tasks
Types of Machine Learning
Applications of Machine Learning
The Way Forward
How You'll Learn
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