Objectives of Machine Learning –

    • About Machine Learning Course


      What is Machine Learning?

      Machine Learning is Subtype of Artificial Intelligence. That provides computer with ability to learn without being explicitly programmed. Machine Learning and Artificial Intelligence are parts of computer science. It is closely related to the Data Mining and AI.

      What are the Scope of Machine Learning?

      Machine Learning Professionals are in most demand at present. Companies are offering huge pay packages for people with skills in Machine Learning in Pune, Mumbai and Bangalore. CodeKul.com is recognized as one of the best Machine Learning Institute in Pune.

      How the course will benefit me?

      Once you complete the Project based classroom sessions for Machine learning training in Pune. You will get the good opportunities to find a jobs in Pyhton & machine learning.

      Who is the target audience to learn Machine Learning Course?

      • Any Graduated person want to make career in machine learning

      • Who knows the basics of  Python & R Language

      • Data Science Professionals

      • Software Developers

      Objectives of Machine Learning –

      • Working with Machine Learning automation tool.

      • Identifying various applications machine learning algorithm.

      • Identifying classification data and models.

      • Getting knowledge about on Artificial Intelligence.

      • Decision tree learning.

      • Understand deep learning.

      • Analyze data using machine learning algorithm.

      Machine Learning Course Syllabus


      1. Introduction to Machine Learning
      2. linear Regression in machine learning
      3. Logistic Regression in machine learning
      4. K Nearest Neighbors
      5. Decision Tree Machine Learning Example
      6. Random Forests
      7. Support Vector Machines
      8. K Means Clustering Algorithm in Machine Learning
      9. Natural Language Processing with Python
    • Getting knowledge about on Artificial Intelligence.

    • Decision tree learning.

    • Understand deep learnining

    • Course Content :
    • Introduction to Machine Learning
    • linear Regression in machine learning
    • Logistic Regression in machine learning
    • K Nearest Neighbors
    • Decision Tree Machine Learning Example
    • Random Forests
    • Support Vector Machines
    • K Means Clustering Algorithm in Machine Learning
    • Natural Language Processing with Python