Machine Learning with R Training

Machine Learning with R Training Course

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Course Description

TThe Machine Learning with R course will make you an expert in this emerging domain, a form of artificial intelligence that automates data analysis to enable computers to learn and adapt through experience to do specific tasks without explicit programming. One will learn machine learning concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms and prepare you for a career role of Machine Learning Expert..
There are multiple courses available to fit the requirement of students and working Professionals. 1. Short duration Machine Learning Overview course. 2. A more intense Machine Learning course for those intending to pursue a career in this domain  
What skills will the student gain?
After the completion of this course, the student will be able to:

  • Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
  • ·   Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach which includes working on 28 projects and one capstone project.
  • ·   Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.
  • ·   Understand the concepts and operation of support vector machines, kernel SVM, naive bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
  • ·   Comprehend the theoretical concepts and how they relate to the practical aspects of machine learning.
  • ·   Be able to model a wide variety of robust machine learning algorithms including deep learning, clustering, and recommendation systems

Mode of Training

The AWS training is delivered in the following modes - Regular Classroom, Fast-track and Online live trainer


The training is offered in locations like Chennai, Bangalore, Kolkata, Mumbai and NCR.

To know more about the schedules in those cities click here -->

Schedule for Kolkata

Outside the country it is delivered in Dhaka, Thimpu, Singapore, Kuala Lumpur, Middle East, Africa and Australia.

The course outline delivered during the class is as follows -

Sl No

Main Topic




A crash course in R-Programming

Ø R-Programming Fundamentals

Ø NumPy

Ø Pandas

Ø Sci-kit Learn



The Machine Learning Landscape

Ø What is Machine Learning?

Ø Why use Machine Learning?

Ø Types of Machine Learning Systems

Ø Main Challenges of Machine Learning

Ø Testing & Validating



End-to-End Machine Learning Project

Ø Working with Real Data

Ø Look at the Big Picture

Ø Get the Data

Ø Discover & Visualize the Data to Gain Insights

Ø Prepare the Data for Machine Learning Algorithms

Ø Select & Train a Model

Ø Fine-tune Your Model

Ø Launch, Monitor & Maintain Your System




Ø Traning a Binary Classifier

Ø Performance Measures

Ø Multiclass Classification

Ø Error Analysis

Ø Multilabel Classification

Ø Multioutput Classification



Training Models

Ø Linear Regression
Gradient Descent
Polynomial Regression
Learning Curves
Regularized Linear Models
Logistic Regression



Support Vector Machines

Ø Linear SVM Classification
Non-linear SVM Classification
SVM Regression



Decision Trees

Ø Training & Visualizing a Decision Tree
Making Predictions
Estimating Class Probabilities
The CART Training Algorithm
Computational Complexity



Ensemble Learning & Random Forests

Ø Voting Classifiers
Bagging & Pasting
Random patches & Random Subspaces
Random Forests
Boosting & Stacking



Artificial Neural Networks

Ø Introduction to Artificial Neural Networks
Building a Perceptron Based Classifier



Fuzzy Logic

Ø Fuzzy Sets
Fuzzy Logic
Using R Programming to develop a Fuzzy System








If you are located outside Kolkata or would like to attend our session during your visit to Kolkata then please feel free to write us at for any queries related to program,
upcoming schedule and fee. Call: +91-9051092035 or WhatsApp: +91-9051092035

Schedule for AWS Training in 2018 is as follows:
Month Dates No of Hours
January Completed
February Completed
March Completed
April Completed
May Completed
June Completed
July Completed
August 26th Aug (Fast-track) 30
September 4th - weekday, 23rd - fast-track 30
October TBA 30
November 4th - fast-track,6th - weekday 30
December 2nd - fast-track, 4th - weekday 30

Study Mode & Fees

Certification Name Delivery Mode Fees Special Offers
Machine Learning Fundamentals Classroom Rs. 8,000+ 18% GST Discount for 5+ enrollments
Machine Learning Advanced Classroom Rs. 14,000 + 18% GST Discount for 3+ enrollments and Deep Discount for 5+ enrollments


The commonly asked questions pertaining to Macine Language training are -

Q: What are the pre-requisites for taking the Machine Language course?

A: Basic knowledge of R-Programming will be helpful

Q: Will this be theoretical or hands-on?

A: This is a complete hands-on training where the trainer will demonstrate each feature and participants will follow and do the same on the system.

Q: Will I get to install any application?

A: Yes, trainer will demonstrate how to do the same

Q: Will I incur any charges for accessing the application?

A: The standard features are available for free. There are some premium services for which charges maybe imposed by Amazon.

Q: What if I have doubts after completing the class?

A: You can gather your doubts and come by prior appointment to get your doubts cleared.

Q: What help will I get for clearing the Certification Exam?

A: Our trainer is a Certified person and will provide guidance and tips for clearing the exam. Besides, you will get access to dumps for clearing the exam

Q: Will I receive a certificate for the course?

A: Yes, participants receive a certificate after completing the course provided they have attended 90% of the class.

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CONTACT US +91-9051092035 (24×7)
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A Few Things You’ll Love!

  • Accredited Training Partner
  • Certified & Industry Experts Trainers
  • Multiple Training Delivery Models
  • Customized Course
  • 24/7 e-Learning Access
  • Assessments and Mock Tests
  • Placement Assistance

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