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Thanesar, Haryana, India 136119
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  1. © 2025 National Institute of Technology Kurukshetra. All Rights Reserved.

    CSIC221 Machine Learning & Data Analytics

    Prerequisites:

    No prerequisites for this course

    Course Nature: IC
    Objectives:
  1. The major goal of the course is to allow computers to learn (potentially complex) patterns from data, and then make decisions based on these patterns.
  2. To provide strong foundation for data science and application area related to it.
  3. To provide the underlying core concepts and emerging technologies in data science.
  4. A data scientist requires an integrated skill set spanning mathematics, probability and statistics, optimization, and branches of computer science like databases, machine learning etc.
    5. Similar Courses:

    Course Coordinator

    Dr. Sushil Kumar Madan
    Dr. Sushil Kumar Madan

    Professor

    skmadan@nitkkr.ac.in

    9416292144

    Content

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    Outcomes

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    1. Explore the fundamental concepts of data science and machine learning.
    2. Understand the processes of data science - identifying the problem to be solved, data collection, preparation, evaluation and visualization.
    3. Understand data analysis techniques for applications handling large data.
    4. Visualize and present the inference using various tools.
    5. Understand various machine learning algorithms used in data science process.
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    Reference Books

    1. U Dinesh Kumar and Manaranjan Pradhan, Machine Learning using Python, John Wiley & Sons, 2020.

    2. Cathy O ‘Neil and Rachel Schutt, Doing Data Science, Straight Talk From The Frontline, O ‘Reilly, 2014.

    3. Ethem Alpaydin, Introduction to Machine Learning, Second Edition, PHI, 2010.