Projects in Machine Learning: From Beginner to Professional
with Eduonix Learning Solutions
Overview
In this 15 hr course, you'll delve into the exciting field of machine learning, from core principles to implementing advanced projects. Guided by hands-on examples, you'll explore supervised and unsupervised learning, neural networks, and natural language processing.
What I will be able to do after this course
- Understand the distinction between AI and ML and their applications.
- Learn to implement credit card fraud detection using probability densities.
- Master the use of supervised learning for tasks like text classification.
- Apply deep learning frameworks like SRCNN for image enhancement.
- Gain proficiency in clustering techniques such as K-means for analytical projects.
Course Instructor(s)
This course is orchestrated by Eduonix Learning Solutions, a team passionate about technical education and simplifying complex concepts for learners globally. With breadth in teaching programming, data science, and AI topics, the instructors focus on pragmatic teaching through real-life projects to leave learners industry-ready and confident in their skills.
Who is it for?
The course is ideal for data enthusiasts, aspiring ML engineers, and Python developers keen to break into machine learning. Beginners with firm math basics, or professionals wanting practical AI/ML exposure through Python, will benefit. Perfect for those excited to understand algorithms and apply them to creative solutions.
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