Vishal Kumar Swain Asst. Professor
No reviews yet

My teaching methodology is as follows:

1. First, I ensure that students have a clear understanding of the theoretical concepts.
2. Next, I implement the theory using Python to provide better clarity and hands-on experience.
3. Then, I help students understand the mathematical intuition and underlying principles behind all algorithms.
4. Finally, I have them solve numerical problems to reinforce their understanding and gain even better clarity.

- I have trained over 5,000 students and published 7 research papers.
- Additionally, I mentor students in research-based projects, fostering the next generation of innovators and thinkers.
- Email: ******

Subjects

  • Deep learning with Python programming Expert

  • Machine learning Python Expert


Experience

  • Assistant professor (Jul, 2023Present) at GIET UNIVERSITY GUNUPUR

Education

  • M-Tech (Aug, 2023now) from Giet gunupurscored 9.3 CGPA

Fee details

    1,0003,000/hour (US$11.7035.09/hour)

    Those who already have knowledge and need some help for them the fee is minimum where as those bignner for them depends upon there knowledge.


Courses offered

  • Introduction to Machine Learning for Beginners

    • US$250
    • Duration: 2 Months
    • Delivery mode: Online
    • Group size: Individual
    • Instruction language: English
    • Certificate provided: No
    Unlock the power of data with our beginner-friendly Machine Learning course! Designed for those with little to no prior experience, this course provides a solid foundation in the key concepts and techniques of machine learning.

    Throughout the course, you will:

    Explore the fundamentals of machine learning and understand how it is transforming industries.
    Learn about various machine learning algorithms, including supervised and unsupervised learning methods.
    Gain hands-on experience by working on real-world datasets and implementing models using popular tools like Python, Scikit-learn, and TensorFlow.
    Understand key concepts such as data preprocessing, model evaluation, and hyperparameter tuning.
    Develop practical skills to build and deploy your own machine learning models.
    By the end of this course, you'll have the confidence and skills to start your journey in the exciting field of machine learning. Whether you're a student, professional, or enthusiast, this course will help you take the first step towards becoming a machine learning practitioner.

    No prior programming or data science experience required! Join us and start your machine learning adventure today.

Reviews

No reviews yet. Be the first one to review this tutor.