ML Campaign

A machine learning campaign is a planned attempt to use machine learning methods to address a particular issue or accomplish a certain objective. It entails a number of processes, including data preparation and collection, model selection and training, and performance evaluation.

Apr 9, 2023, 12:30 – 2:30 PM



Key Themes

Explore MLKaggleML Study JamMachine LearningTensorFlow / Keras

About this event

The ML event is a gathering of experts and enthusiasts in the field of Machine Learning. The event provides a platform for attendees to learn about the latest advancements and innovations in ML, as well as discuss ideas, challenges, and opportunities in the field.

The event typically features keynote speakers, panel discussions, and technical workshops, covering a wide range of topics such as deep learning, natural language processing, computer vision, and data analytics. Attendees can expect to hear from leading researchers, industry practitioners, and entrepreneurs who are at the forefront of ML innovation.

In addition to the technical sessions, the event also offers networking opportunities and a chance to connect with other like-minded individuals in the field. Attendees can share their experiences and learn from others, while also discovering new ideas and solutions to complex problems.

Overall, the ML event is a must-attend event for anyone interested in the field of machine learning, whether they are beginners or experienced practitioners.


  • Sunny Kumar

    Rajkiya Engineering college Bijnor

    ML & Data Science Lead


  • Arpit Verma

    Rajkiya Engineering College Bijnor

    GDSC Lead

  • Ishan Bhardwaj

    Rajkiya Engineering College Bijnor

    Faculty Advisor

  • Love Bhardwaj


    Flutter Developer

  • Govind Gupta

    Rajkiya Engineering College Bijnor

    Android Development Lead

  • Utkarsh Sharma

    Rajkiya Engineering College, Bijnor

    UI/UX & Social Media Lead

  • Shivam Singh

    Rajkiya Engineering College Bijnor

    Web Development Lead

  • Anjali Gautam

    Content and Social Media Lead

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