Machine Learning
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Course Overview
This course covers:
Python for ML
Data preprocessing
Supervised learning
Unsupervised learning
Model evaluation
Feature engineering
Neural networks basics
Model deployment fundamentals
Learning Peeks
Course Duration
3 Months
Course Structure
Instructor-Led
Availability
Available Online/Offline
Flexible Schedules
Flexible study schedules
Language
English Language
Training Days
Offline: Mon, Wed & Fri
Online: Tues, Thur & Fri
Recognized Certification
Earn a certification on completion
Course Outcome
By the end of this course, participants will:
Understand core ML concepts and terminology
Implement regression and classification models
Apply clustering techniques
Evaluate model performance using proper metrics
Build end-to-end ML pipelines
Present and defend ML project results
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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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