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Machine Learning

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.

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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.

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Program Duration

208 Hours


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Accredited by

NSDC

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Flexible Learning

In-center and online


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Project-based Assessment

Hands-on experience

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Placement Support

Industry Experts

Key Topics Covered

Certification Course on Machine Learning using Python
  • Api & Libraries
  • Classification
  • Clustering
  • Regression
  • Statistics
  • Survival Analysis
Certification Course on Machine Learning
  • Deep learning
  • Pre processing
  • Python & R Programming for ML
  • Regression
  • Supervised Learning
  • Unsupervised learning
Certification Course on 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
Salary Range Penetration
About

Real-time Professional project experience to prepare student for their future

Machine learning (ML) is revolutionizing various sectors by enabling systems to learn from data and make informed predictions. This article explores four compelling ML projects: Banking Fraud Predictive Model, Prediction of Market Systems Company Health and Business Potential, Personalizing Entertainment and Lifestyle Media, and Predicting Patient Health and Recurrence of Diseases. Each project demonstrates the power of ML in addressing real-world challenges and improving decision-making processes.

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