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Programs

  • Phone: +91 - 9626201705
  • Phone: +91 - 4448608628
  • Address: Brainswig Edutech Pvt Ltd, #12-1st floor, Sairam nagar, Vadakupattu main road, Medavakkam, Chennai - 600100.
  • Email: brainswig@gmail.com

Course Objectives:

This course is designed for professionals who want to explore data incepting from cleaned data set to Statistical Analysis and through Predictive modeling and finally Data Optimization and recommand most optimized solution. R, Python and SAS are important tool for advancement in machine learning spaces and numerical analysis.It is equipped with a unique feature that helps in processing,modeling and visulizing data.It is easy to learn and it takes only a few lines to write a complete code.

Course Highlights:

  • Master the concepts of Supervised and Unsupervised Learning
  • Gain practical mastery over principles, algorithms, and applications of machine learning through a hands
  • on approach which includes working on 28 case studies 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
  • Examine and learn data manipulaton with R and Python functions also Learn the fundamentals of R and Python programming.
  • Apply data visualization to make fancy plots also predictive Analytics to predict outcomes in R and Python.
  • WHO SHOULD ATTEND

  • Developers aspiring to be a data scientist or machine learning engineer
  • Analytics managers who are leading a team of analysts
  • Business analysts who want to understand data science techniques Information architects who want to gain expertise in machine learning algorithms
  • Analytics professionals who want to work in machine learning or artificial intelligence
  • Graduates looking to build a career in data science and machine learning
  • Experienced professionals who would like to harness machine learning in their fields to get more insights
  • Have a Question? contact us now