Machine & Deep Learning – Foundation
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Course Overview
Course Overview:
This foundation course focuses on:
Understanding how data-driven models work
Learning the mathematical intuition behind ML (without heavy theory)
Implementing core ML algorithms
Introducing neural networks and deep learning concepts
The course follows Schoolville’s Project-Based Learning (PBL) approach, ensuring learners practice every concept through guided labs and mini projects.
Learning Peeks
Course Duration
3 Months
Course Structure
Instructor-Led
Availability
Available Online/Offline
Flexible Schedules
Flexible study schedules
Language
English Language
Training Days
Monday, Wednesday, and Friday
Recognized Certification
Earn a certification on completion
Course Outcome
Course Outcomes:
By the end of this course, learners will be able to:
Understand key machine learning and deep learning concepts.
Explain supervised and unsupervised learning.
Prepare and preprocess datasets for ML models.
Build basic regression and classification models.
Understand neural networks and deep learning fundamentals.
Implement simple neural networks using Python libraries.
Evaluate and improve basic ML models.
Prepare for Machine & Deep Learning – Practitioner level.
A World-Class Learning Facility
At Schoolville, we have created a conducive environment for learning, combining exceptional school structures, inspiring classrooms, and dedicated tutors. We understand that the physical surroundings greatly impact the educational experience, and we strive to provide a nurturing setting that fosters academic growth, creativity, and personal development.
Our classrooms are carefully designed to facilitate effective teaching and learning to enable tutors to deliver dynamic and engaging lessons that captivate students attention and spark their curiosity.
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