Foundations of AI/ML - Linear Regression

The AI/ML chapter's inaugural workshop will delve into teaching the fundamentals of AI/ML, with an emphasis on the ideas at play that combine to produce cutting-edge models. Participants will be guided step-by-step through the entire process of creating their own custom linear regression project to forecast student performance during the workshop.

Nov 3, 2023, 1:15 PM – Nov 7, 2023, 2:30 PM



Key Themes

Career DevelopmentExplore MLMachine LearningTensorFlow / Keras

About this event

During this workshop, participants will be actively engaged in a hands-on learning experience, where they will roll up their sleeves and embark on a journey to create their very first AI/ML project. The workshop is designed to be highly interactive and practical, ensuring that participants not only understand the theoretical concepts but also gain the skills to apply them effectively.

Here's how participants will work on their project and achieve their first AI/ML milestone:

Step-by-Step Guidance: Participants will receive step-by-step guidance throughout the workshop. Instructors will break down complex concepts into manageable pieces, ensuring that every participant can follow along and actively contribute to their project.

Project-Based Learning: The core of this workshop is project-based. Participants will work on their custom linear regression project from the very beginning, starting with data collection and cleaning, progressing through model development, and culminating in performance evaluation.

Code Implementation: Through the use of Python, Numpy, and Scikit-learn, participants will learn how to translate their understanding of AI/ML into actual code. They'll explore best practices in coding, ensuring that their projects are not only functional but also well-structured and efficient.

Problem-Solving Skills: Participants will encounter challenges and roadblocks along the way, and this is by design. These obstacles will serve as valuable learning opportunities, teaching them problem-solving skills that are crucial in the world of AI/ML.

Collaborative Learning: The workshop fosters a collaborative environment where participants can share their insights and work together on solving problems. Collaborative learning enhances the overall experience and allows participants to learn from each other.

Best Practices: Good practices and industry standards will be emphasized at every stage of the project. This includes data preprocessing, model selection, and evaluation. Participants will gain insights into how to create robust and efficient AI/ML solutions.

By the end of the workshop, participants will not only have completed their custom linear regression project but will also have gained a deeper understanding of AI/ML principles and the ability to apply them effectively. This event aims to provide a solid foundation and practical skills, setting participants on a path towards success in the exciting world of Artificial Intelligence and Machine Learning.


  • Daksh Oza


    AI/ML Chapter Lead

  • Khurram Rashid


    AI/ML Chapter Member


  • Daksh Oza


    AI/ML Chapter Lead

  • Aditya Kamarouthu


    AI/ML Chapter Member

  • Aniruddh Pandey


    AI/ML Chapter Member

  • Khurram Rashid


    AI/ML Chapter Member

  • Parikshit Sahu


    AI/ML Chapter Member


  • Asbaa Thakur

    GDSC Lead

  • Saad Shaikh

    Game Development

  • Daksh Oza

    AI & ML

  • Vivek Pillai

    Competitive Programming


    Amity University

    Web Development


    Management Committee

  • Dhananjay Joshi


  • Dylan Moraes

    Cloud Development Lead

  • Nandini Nirmal

    Social Media and Marketing

  • Runa Kapuganti

    Android Development

  • Isheta Bhatt

    Cyber Security Lead

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