Learn - Machine Learning using R

  • Course Description
  • Key Topics Covered
  • Scope & Career Opportunities
  • Real Time Projects

    Machine Learning

  • Predicting patient health and recurrence of diseases
  • Personalizing entertainment and lifestyle media
  • Prediction of market systems company health and business potential
  • Banking fraud predictive model using machine learning

Learn - Machine Learning using R & Python

Owing to the increasing adoption of technological advancements, the global machine learning market is steadily growing: it was valued at $15.44 billion in 2021. Microcontrollers are essential components in embedded systems used in various applications. Learning microcontroller programming can open up career opportunities in embedded systems design, product development, and robotics.

Course Objective

Our Machine Learning Certification Courses will provide you with a solid foundation in machine learning as well as the ability to develop, train, and implement machine learning models in Python and R. Working on real-world projects will allow you to gain practical experience and prepare you for a rewarding career in the field of artificial intelligence.

    Machine Learning using R

  • Api & Libraries
  • Classification
  • Clustering
  • Regression
  • Statistics
  • Survival Analysis
  • Word Cloud

Scope & Career Opportunities

You will learn the basic as well as advanced concepts of machine learning, including data preparation, feature engineering, model selection, and optimization. You will learn to work with popular machine learning algorithms such as regression, clustering, and decision trees, and implement them in Python and R.

    Who is this Course suitable for?

  • Aspiring data scientists
  • Software developers
  • IT professionals
  • Analytics professionals
  • Graduates looking for a career in AI

    Job Roles:

  • Artificial Intelligence Developer
  • Business Intelligence Analyst
  • Data Scientist
  • Machine Learning Engineer

Course Features

  • Duration:60 Hours
  • Flexible Learning In-center and online
  • Practical Learning Hands-on experience
  • Learn fromIndustry Experts
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