Introduction to Machine Learning

Join us for an engaging session on Introduction to Machine Learning, where we bridge the gap between theory and practical application in machine learning. Whether you are a beginner or an enthusiast seeking to expand your knowledge, this event promises to be an enriching experience for all.

Jan 10, 1:30 – 3:00 PM



Key Themes

Explore MLMachine LearningSolution Challenge

About this event

Welcome to our engaging event, "Introduction to Machine Learning". In this illuminating session, we will unravel the mysteries of machine learning, exploring its core concepts and essential components.

What to Expect:

Understanding Machine Learning: Discover the essence of machine learning and its pivotal role in shaping the future of technology.

AI Overview: Gain insights into the broader landscape of Artificial Intelligence and how machine learning fits into this dynamic field.

Data Handling Techniques:

  • Data Splitting: Understand the importance of dividing datasets for training and testing purposes.
  • Feature Scaling: Explore techniques to standardize or normalize features for optimal model performance.

Challenges in Machine Learning:

  • Overfitting: Learn about the common pitfall of fitting a model too closely to the training data.
  • Underfitting: Understand the challenges of oversimplified models that fail to capture the underlying patterns.
  • High Bias & High Variance: Navigate the delicate balance between bias and variance in model performance.

Model Evaluation Techniques:

  • Accuracy Metric: Explore methods to measure the performance and accuracy of machine learning models.
  • Confusion Matrix: Delve into a powerful tool for visualizing model performance, particularly in classification tasks.

Python Libraries for Machine Learning:

  • Pandas: Learn how to manipulate and analyze data efficiently.
  • Matplotlib: Discover the art of data visualization for better insights.
  • Scikit-Learn: Dive into a comprehensive library for machine learning tasks, covering everything from training models to testing their accuracy.


  • Aiswarya Paul

    Techno Engineering College Banipur

    AI/ML Core Team


  • Prithwish Raymahapatra

    Techno Engineering College Banipur

    AI/ML Lead

  • Soumyadeep Paul

    Techno Engineering College Banipur

    AI/ML Core Team


  • Shiwangi Kumari

    GDSC Lead

  • Surbhi Kumari

    Web Dev Lead

  • Debankan Mitra

    Cloud Lead

  • Prithwish Raymahapatra

    AI/ML Lead

  • Abhas Kumar

    Video Editing Lead

  • Manprit Acharjee

    PR/Outreach Lead

  • Aiswarya Paul

    AI/ML Core Team

  • Soumyodeep Dutta

    Web Dev Core team

  • Soumyadeep Paul

    AI/ML Core Team

  • Shariar Rahaman

    Design Core Team

  • Tathagata Nath

    App Dev Core Team

  • Anamika Panda

    Web Dev Core Team

  • Animesh Mitra

    Web dev core team

  • Souroja Chowdhury

    Design Lead

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