Machine Learning Concepts and Application of ML using Python

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Machine Learning Concepts and Application of ML using Python

Learn core concepts of Machine Learning. Apply ML techniques to real-world problems and develop AI/ML based applications

What you’ll learn

  • Learn the A-Z of Machine Learning from scratch
  • Build your career in Machine Learning, Deep Learning, and Data Science
  • Become a top Machine Learning engineer
  • Core concepts of various Machine Learning methods
  • Mathematical concepts and algorithms used in Machine Learning techniques
  • Solve real world problems using Machine Learning
  • Develop new applications based on Machine Learning
  • Apply machine learning techniques on real world problem or to develop AI based application
  • Analyze and implement Regression techniques
  • Linear Algebra basics
  • A-Z of Python Programming and its application in Machine Learning
  • Python programs, Matplotlib, NumPy, basic GUI application
  • File system, Random module, Pandas
  • Build Age Calculator app using Python
  • Machine Learning basics
  • Types of Machine Learning and their application in real-life scenarios
  • Supervised Learning – Classification and Regression
  • Multiple Regression
  • KNN algorithm, Decision Tree algorithms
  • Unsupervised Learning concepts & algorithms
  • AHC algorithm
  • K-means clustering & DBSCAN algorithm and program
  • Solve and implement solutions of Classification problem
  • Understand and implement Unsupervised Learning algorithms


  • Enthusiasm and determination to make your mark on the world!

Who this course is for:

  • Machine Learning Engineers & Artificial Intelligence Engineers
  • Data Scientists & Data Engineers
  • Newbies and Beginners aspiring for a career in Data Science and Machine Learning
  • Machine Learning SMEs & Specialists
  • Anyone (with or without data background) who wants to become a top ML engineer and/or Data Scientist
  • Data Analysts and Data Consultants
  • Data Visualization and Business Intelligence Developers/Analysts
  • CEOs, CTOs, CMOs of any size organizations
  • Software Programmers and Application Developers
  • Senior Machine Learning and Simulation Engineers
  • Machine Learning Researchers – NLP, Python, Deep Learning
  • Deep Learning and Machine Learning enthusiasts
  • Machine Learning Specialists
  • Machine Learning Research Engineers – Healthcare, Retail, any sector
  • Python Developers, Machine Learning, IOT, AirFlow, MLflow, Kubef
  • Computer Vision / Deep Learning Engineers – Python


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