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Machine Learning and Deep with R

Track :

Programming

Lessons no : 6

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What will you learn in this course?
  • Develop and implement machine learning algorithms using R for predictive analytics and data modeling
  • Build and train deep learning models with Keras in R for image recognition and natural language processing
  • Apply neural network architectures to solve complex real-world problems in various industries using R
  • Optimize machine learning and deep learning models for accuracy, efficiency, and scalability in R environments
  • Utilize R syntax to design, tune, and evaluate deep learning models with Keras effectively
  • Integrate R-based deep learning solutions into existing data science workflows for enhanced insights

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Lessons | 6


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9 Reviews

Kiran P

v
2025-12-01

Pallavi indore

Great
2025-11-24

Diya Tiwari

cool
2025-11-23

SHRUTHISREE R

Superb
2025-11-20

M.NITHIYASHREE

Nice
2025-11-20

Jitendra Ahirwar

nothing
2025-10-24

Himesh Singh

.
2025-10-16

mostafa bousbaa

good
2025-10-14

Nikita Sonar

Excellent course
2025-09-21

Kavindi Vinurika

good course and good foundation.
2025-07-31

Timothy Muva

very practical
2025-07-18

Maddinti Chetan

It was really worth and very  good explanation of the course.
2025-01-27

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Keras for R allows data scientists to run deep learning models in an R interface. They can write in their preferred programming language while taking full advantage of the deep learning methods and architecture. The package provides familiar syntax.