Machine Learning

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1 Curriculum

Overview
Curriculum
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Unlock the power of data with our comprehensive Machine Learning course! Gain hands-on experience and work on real-time projects designed to equip you with practical skills and deep insights. Enroll now to transform your career and master the techniques driving the future of technology. Discover practical applications and get a glimpse of our comprehensive course designed for both beginners and professionals.

Curriculum

12 Sections
1 Lesson
Lifetime

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Demo
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  Demo Recording
Section 1
Introduction to Machine Learning
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Section 2
Types of Machine Learning
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Section 3
Most commonly used Machine Learning types in real-life projects
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Section 4
Overview of Supervised Learning.
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Section 5
Basics of git, python Programming
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Section 6
Coding Exercises
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Section 7
Explore different Supervised Learning models
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Section 8
Practical coding implementation of important models
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Section 9
Hyperparameter tuning and Model Evaluation
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Section 10
ML project implementation (end-to-end)
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Section 11
MLOps using a cloud service (AWS/Google Cloud)
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Real Time Expert

What Will You Learn?

What is Machine Learning?
Different Types of Machine Learning
Most commonly used Machine Learning types in real-life projects
Overview of Supervised Learning
Basics of git, python (required for implementation)
Explore different Supervised Learning models
ML project implementation (end-to-end)
MLOps using a cloud service (AWS/Google Cloud)
Q&A Session

A course by

Real Time Expert

August 27, 2025 Last Updated

Ustring IT is inviting you to a scheduled Zoom meeting.

Topic: Machine Learning

Join Through Zoom Meeting

Date : 10th September 2025

Featured Review

I recently completed the Machine Learning course, and it was an exceptional experience! The curriculum was comprehensive, covering everything from foundational algorithms to advanced techniques like neural networks and deep learning. The hands-on projects allowed me to apply my knowledge in real-world scenarios, and the instructors were always available to provide guidance and answer questions. I now feel confident in my machine learning skills and ready to tackle complex data challenges. Highly recommend this course to anyone looking to advance their career in data science and machine learning!

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