Dr C Kishor Kumar Reddy Strong knowledge on Programming In C, Data Mining
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I am a passionate researcher in Computer Science and Engineering. Major areas of research are Machine Learning, Image Processing, Remote Sensing and Deep Learning. In total 50+ research papers are published in various conferences and Journals indexed by Scopus and SCI. Edited 2 text books and authored 2 text books. Acted as session chair to various international conferences.

Currently I am an Associate Professor in STLW, Hyderabad, India and Adjunct Lecturer at Botho University, Botswana. Currently, coordinating with various professors across the globe: Malaysia, Vietnam, USA, UK, Botswana, South Africa and others.

Actively looking for the students who wants to learn the things practically with real time use cases.

Subjects

  • Machine Learning Beginner-Expert

  • Deep Learning Beginner-Expert

  • Programming in C Beginner-Expert

  • Data Mining and Data Warehousing Beginner-Expert


Experience

  • Associate Professor (Aug, 2014Present) at stanley college of engineering and technology for women

Education

  • Doctrate (Jan, 2014Apr, 2019) from K L university Vijayawada

Fee details

    1,0002,000/hour (US$11.9223.84/hour)


Courses offered

  • Machine Learning

    • 5000
    • Duration: 20 Hours
    • Delivery mode: Online
    • Group size: 6 - 10
    • Instruction language: English
    • Certificate provided: No
    Basics of Machine Learning along with use cases of machine learning algorithms
  • Deep Learning

    • 5000
    • Duration: 20 Hours
    • Delivery mode: Online
    • Group size: 6 - 10
    • Instruction language: English
    • Certificate provided: No
    Basics of deep learning along with use cases
  • Discrete Mathematics

    • 5000
    • Duration: 20 hours
    • Delivery mode: Online
    • Group size: 6 - 10
    • Instruction language: English
    • Certificate provided: No
    Sets, relationship, functions, mathematical induction, permutations, combinations, graph theory
  • Programming in C

    • 5000
    • Duration: 20 Hours
    • Delivery mode: Online
    • Group size: 6 - 10
    • Instruction language: English
    • Certificate provided: No
    Basics to advanced concepts

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