learn foundation of ml with industry experts
Workshop Description:
This workshop aims to deepen participants’ understanding of Machine Learning by covering the complete model development pipeline—from data preprocessing to evaluation and optimization. Attendees will explore key concepts like bias-variance tradeoff, overfitting, cross-validation, and performance metrics beyond accuracy. Through guided hands-on sessions, they will build and tune ML models using real-world datasets in Python (Scikit-learn), gaining practical experience and industry-relevant skills. The workshop is designed for students with basic ML knowledge, helping them transition to intermediate-level problem-solving.
RULEBOOK
1. EVENT OVERVIEW: The Machine Learning Fundamentals Workshop is a hands-on professional event under Grafest-2025, designed to provide participants with a strong foundation in machine learning. Led by an industry expert, this workshop will cover key concepts, algorithms, and real-world applications of machine learning. Attendees will gain practical experience through coding exercises and case studies.
2. EVENT THEME: “Mastering Machine Learning: From Theory to Practice!”
3. ELIGIBILITY CRITERIA:
- Open to researchers, entrepreneurs, and students in relevant fields or having interest in the following topic.
- Participants of any semester or year can attend this seminar individually.
- Basic knowledge of IT systems and security principles is recommended but not mandatory.
4. REGISTRATION PROCESS:
- Participants must register through the official Grafest-2025 website before the deadline.
- Limited seats are present so first those who fill the form will be able to attend the workshop.
5. WORKSHOP STRUCTURE:
- Introduction to Machine Learning: Overview of concepts, applications, and industry trends.
- Supervised & Unsupervised Learning: Understanding key algorithms and their use cases.
- Hands-on Coding Session: Practical exercises using Python and popular ML libraries.
- Model Evaluation & Optimization: Techniques to improve model accuracy and performance.
- Real-World Case Studies: Analysis of machine learning applications in various industries.
- Q&A and Networking: Interaction with the industry expert and networking opportunities.
6. EVENT TIMELINE:
- Registration Opens: [Date]
- Workshop Date: [Date]
- Closing Registration: [Date]
7. GENERAL RULES:
- Participants must maintain a professional demeanor and adhere to ethical AI practices.
- Any form of plagiarism or misrepresentation of work will result in disqualification.
8. AWARDS & RECOGNITION:
- Most interactive student: Recognition for the most innovative and interactive student.
- Certificates: All attendees will receive a Certificate of Participation.
9. CONTACT DETAILS:
For queries, reach out to us at:
Dr. Jyoti Agarwal (Faculty Coordinator)
Dr. Ankit Vishnoi (Faculty Coordinator)
Dr. Upam Jain (Faculty Coordinator)
Mohd. Shouib (Faculty Coordinator)
Mr. Ankit Chaudhary (Chairperson)
GEU IEEE SB
Phone No:-8745888942
We look forward to an engaging and knowledge-rich workshop on Machine Learning Fundamentals at Grafest-2025!
