Machine Learning Course by Komal Kumari

The Machine Learning Fundamentals course is a beginner-focused online program designed for learners who want to understand how machines learn from data and make predictions or decisions. Conducted by Komal Kumari, this course introduces the core concepts of Machine Learning (ML) in a clear, structured, and easy-to-understand manner, making it suitable for students, fresh graduates, and early professionals.

The course emphasizes conceptual clarity over complexity, helping learners understand what machine learning is, how it works, and where it is applied in real-world scenarios. Rather than diving immediately into heavy mathematics or advanced coding, the program focuses on building strong foundational knowledge that prepares students for future learning in AI, data science, or applied machine learning.

All sessions are conducted online, allowing learners from Janakpuri, New Delhi, and other locations to participate conveniently from home.

What Students Will Learn

By the end of this course, learners will gain a clear understanding of:

• Introduction to Machine Learning and its role in modern technology

• Difference between traditional programming and machine learning systems

• Types of Machine Learning:

  • Supervised learning

  • Unsupervised learning

  • Basic understanding of reinforcement learning

• Common machine learning concepts:

  • Datasets and features

  • Training and testing data

  • Model learning and prediction (conceptual level)

• Overview of commonly used machine learning algorithms (introductory):

  • Linear regression and classification concepts

  • Clustering basics

• Understanding how machine learning is used in:

  • Recommendation systems

  • Image and speech recognition

  • Business and everyday applications

• Basic workflow of a machine learning project

• Ethical considerations and limitations of machine learning

The course content is designed to help learners understand how ML works before moving on to advanced technical implementation.

Teaching Method

This is a live online course, delivered in an interactive and learner-friendly format. The teaching methodology includes:

• Simple explanations of complex ideas using real-life examples

• Concept-based teaching with visual and logical breakdowns

• Interactive discussions to encourage curiosity and questions

• Step-by-step explanation of machine learning workflows

• Regular doubt-clearing sessions to reinforce understanding

The learning pace is kept comfortable for beginners, ensuring that students are not overwhelmed by technical jargon.

Why Learn from This Tutor

Komal Kumari follows a clarity-first and structured teaching approach, making emerging fields like Machine Learning accessible to beginners. The course is designed to help learners develop a strong conceptual foundation without exaggerated promises or unrealistic expectations.

This program is especially suitable for students who want to understand machine learning before pursuing advanced coding, AI, or data science courses.

Location Context

Although the classes are conducted entirely online, the tutor is based in Janakpuri, New Delhi, making the course particularly relevant for learners in the Delhi region looking for guided online ML education.

Benefits / Outcomes

After completing this course, learners will be able to:

• Understand the core principles of machine learning

• Identify real-world use cases of ML systems

• Explain how machine learning models learn from data

• Build a foundation for advanced courses in AI, ML, or data science

• Develop analytical thinking and data-driven reasoning

• Approach machine learning topics with confidence and clarity