Sri Vidya College of Engineering & Technology
Sivakasi Main Road, Virudhunagar – 626005 04562 - 281800 | 9750977088
SVCET

Sri Vidya College of
Engineering & Technology

AICTE Approved | Anna University Affiliated | ISO 9001:2008
🏭 Industry Expert Guest Lecture – “Time Management Session & Team Building Activities” | 05 October 2026 | Learn from Industry Experts and Build Professional Skills. ★ 💡 Innovation & Entrepreneurship – “Startup Idea Pitch, Patent Awareness & Design Thinking Workshop” | 11 September 2026 | Innovate, Create & Turn Ideas into Impact. ★ 🎓 Guest Lecture – “Career Opportunities in Core Mechanical & Industry and GATE Preparation” | 26 August 2026 | Learn, Explore & Prepare for Your Future. ★ 📢 Technical Seminar – “Artificial Intelligence in Mechanical Engineering” | 03 August 2026 | An opportunity to explore the future of AI in Mechanical Engineering. ★ 🎉 Department of Management Studies – Inauguration Program | 19 August 2026 at 10:00 AM | Venue: F16, Main Building | Step In. Stand Out. Lead Ahead. ★

Workshop on Data Science and Machine Learning

Prof. R. Karthik
March 09, 2026
1 min read
617 views

Artificial Intelligence (AI) technology is now transforming manufacturing, and the machine-learning tech partner-recognition software at its core can hold transforming factories of the near future. AI is revolutionizing manufacturing as it can perform manufacturing tasks such as short-term design time, and reduce materials waste production reuse, perform predictive maintenance. Today, thousands of people in a single factory work spot defects, an incredibly tiring task, but the algorithm may take a fraction of second to inspect and is also more accurate than humans. The Data Science Workshop focuses on building up your practical skills so that you can understand how to develop simple machine learning models in Python or even build an advanced model for detecting potential bank frauds with effective modern data science. You'll learn from real examples that demonstrate results. Data Science enables companies to efficiently understand gigantic data from multiple sources and derive valuable insights to make smarter data-driven decisions. The workshop was attended by over 150 students from various engineering disciplines. Participants learned about Python programming, data visualization, machine learning algorithms, and real-world applications of AI.

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