×
MindLuster Logo

Machine Learning and Deep with R

Track :

Programming

Lessons no : 6

For Free Certificate After Complete The Course

To Register in Course you have to watch at least 30 Second of any lesson

Join The Course Go To Community Download Course Content

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

How to Get The Certificate

  • You must have an account Register
  • Watch All Lessons
  • Watch at least 50% of Lesson Duration
  • you can follow your course progress From Your Profile
  • You can Register With Any Course For Free
  • The Certificate is free !
Lessons | 6


We Appreciate Your Feedback

Excellent
9 Reviews
Good
18 Reviews
medium
5 Reviews
Acceptable
0 Reviews
Not Good
0 Reviews
4.1
32 Reviews

Ikram Ullah

Good
2026-06-23

INDHU.K

good
2026-06-09

YELURI SHRUTHI

informative
2026-06-07

shaik Taiseen

Nice
2026-06-05

Sruthi Sura

Good
2026-06-04

Niki Patel

Good
2026-05-30

Sreeprada Kompella

Good course
2026-05-24

Sahithi

very good
2026-05-23

Bomma.Jyothsna

Helpful
2026-05-22

Bandagaram Sharmishtaa

.
2026-05-18

Pooja S

Good flatform
2026-05-18

Humaira Mubarak

great
2026-05-02

Show More Reviews

Our New Certified Courses Will Reach You in Our Telegram Channel
Join Our Telegram Channels to Get Best Free Courses

Join Now

Related Courses

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.