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Machine Learning using Advanced Algorithms

Track :

Programming

Lessons no : 4

For Free Certificate After Complete The Course

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What will you learn in this course?
  • Develop and implement advanced machine learning algorithms for complex data modeling and prediction tasks using Python and R
  • Optimize machine learning models with hyperparameter tuning, cross-validation, and regularization techniques for improved accuracy and robustness
  • Apply ensemble methods like boosting, bagging, and stacking to enhance model performance and reduce overfitting in real-world datasets
  • Analyze and interpret machine learning results to make data-driven decisions in artificial intelligence, data science, and predictive analytics

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
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Lessons | 4


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Moksha sai 

Dr
2025-10-17

Prof. Eng. Jabbar Juwaid Juail Aldaweri 

Amazing course
Thank You so much
2025-06-25

Noor Fatima ch 

Good
2025-06-03

Charan m 

Very useful full
2025-04-08

shubham bhongal 

xaghdxfg
2024-11-28

KHAIRUL HAWANI RAMBE 

I need more
2024-08-07

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There are different ways an algorithm can model a problem based on its interaction with the experience or environment or whatever we want to call the input data. It is popular in machine learning and artificial intelligence textbooks to first consider the learning styles that an algorithm can adopt .