5 Months | SAT & SUN (20 WEEKS) | 8 hours per week | FILLING FAST
4 Courses | 120 Modules | 160 hrs | online
Developer Program Price | Students : Rs. 40000 | Working Professionals : Rs. 60000
4 Months | 10 hours per week | FILLING FAST
Option 1: MON, WED & FRI (16 Weeks) OR Option 2 : TUE, THU & SAT (16 Weeks)
4 Courses | 120 Modules | 160 hrs | online
Developer Program Price | Students : Rs. 40000 | Working Professionals : Rs. 60000
4 Courses | 120 Modules | 160 hrs | online
Program Details
4 Courses | 120 Modules | 160 hrs | online
Program Details
4 Courses | 120 Modules | 160 hrs | online
Program Details
4 Courses | 120 Modules | 160 hrs | online
Program Details
4 Courses | 120 Modules | 160 hrs | online
Program Details
4 Courses | 120 Modules | 160 hrs | online
Program Details
4 Courses | 120 Modules | 160 hrs | online
Program Details
4 Courses | 120 Modules | 160 hrs | online
Program Details
4 Courses | 120 Modules | 160 hrs | online
Program Details
This course has been designed and prepared for professionals aspiring to learn R programming and develop applications involving machine learning techniques such as classification, regression, clustering and recommendation. You will also learn to solve data-driven problems and implement your solutions using the powerful R packages. After completing this course, you will gain a broad spectrum of the machine learning environment and the best practices for machine learning techniques.
This course has been designed and prepared for professionals aspiring to learn R programming and develop applications involving machine learning techniques such as classification, regression, clustering and recommendation. You will also learn to solve data-driven problems and implement your solutions using the powerful R packages. After completing this course, you will gain a broad spectrum of the machine learning environment and the best practices for machine learning techniques.
This course has been designed and prepared for professionals aspiring to learn R programming and develop applications involving machine learning techniques such as classification, regression, clustering and recommendation. You will also learn to solve data-driven problems and implement your solutions using the powerful R packages. After completing this course, you will gain a broad spectrum of the machine learning environment and the best practices for machine learning techniques.
This course has been designed and prepared for professionals aspiring to learn R programming and develop applications involving machine learning techniques such as classification, regression, clustering and recommendation. You will also learn to solve data-driven problems and implement your solutions using the powerful R packages. After completing this course, you will gain a broad spectrum of the machine learning environment and the best practices for machine learning techniques.
This course has been designed and prepared for professionals aspiring to learn R programming and develop applications involving machine learning techniques such as classification, regression, clustering and recommendation. You will also learn to solve data-driven problems and implement your solutions using the powerful R packages. After completing this course, you will gain a broad spectrum of the machine learning environment and the best practices for machine learning techniques.
This course has been designed and prepared for professionals aspiring to learn R programming and develop applications involving machine learning techniques such as classification, regression, clustering and recommendation. You will also learn to solve data-driven problems and implement your solutions using the powerful R packages. After completing this course, you will gain a broad spectrum of the machine learning environment and the best practices for machine learning techniques.
This course has been designed and prepared for professionals aspiring to learn R programming and develop applications involving machine learning techniques such as classification, regression, clustering and recommendation. You will also learn to solve data-driven problems and implement your solutions using the powerful R packages. After completing this course, you will gain a broad spectrum of the machine learning environment and the best practices for machine learning techniques.
This course has been designed and prepared for professionals aspiring to learn R programming and develop applications involving machine learning techniques such as classification, regression, clustering and recommendation. You will also learn to solve data-driven problems and implement your solutions using the powerful R packages. After completing this course, you will gain a broad spectrum of the machine learning environment and the best practices for machine learning techniques.
This course has been designed and prepared for professionals aspiring to learn R programming and develop applications involving machine learning techniques such as classification, regression, clustering and recommendation. You will also learn to solve data-driven problems and implement your solutions using the powerful R packages. After completing this course, you will gain a broad spectrum of the machine learning environment and the best practices for machine learning techniques.
This course has been designed and prepared for professionals aspiring to learn R programming and develop applications involving machine learning techniques such as classification, regression, clustering and recommendation. You will also learn to solve data-driven problems and implement your solutions using the powerful R packages. After completing this course, you will gain a broad spectrum of the machine learning environment and the best practices for machine learning techniques.
This course has been designed and prepared for professionals aspiring to learn R programming and develop applications involving machine learning techniques such as classification, regression, clustering and recommendation. You will also learn to solve data-driven problems and implement your solutions using the powerful R packages. After completing this course, you will gain a broad spectrum of the machine learning environment and the best practices for machine learning techniques.
This course has been designed and prepared for professionals aspiring to learn R programming and develop applications involving machine learning techniques such as classification, regression, clustering and recommendation. You will also learn to solve data-driven problems and implement your solutions using the powerful R packages. After completing this course, you will gain a broad spectrum of the machine learning environment and the best practices for machine learning techniques.